Paper Digest: Recent Papers on Relation Extraction

April 15, 2020December 7, 2022 admin

Paper Digest Team extracted all recent Relation Extraction related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.

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TABLE 1: Paper Digest: Recent Papers on Relation Extraction

	Paper	Author(s)	Source	Date
1	Cross-Domain Few-Shot Relation Extraction Via Representation Learning and Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Cross-domain few-shot relation extraction poses a great challenge for the existing few-shot learning methods and domain adaptation methods when the source domain and target domain have large discrepancies. This paper proposes a method by combining the idea of few-shot learning and domain adaptation to deal with this problem.	Zhongju Yuan; Zhenkun Wang; Genghui Li;	arxiv-cs.CL	2022-12-05
2	Named Entity and Relation Extraction with Multi-Modal Retrieval Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Multi-modal Retrieval based framework (MoRe).	XINYU WANG et. al.	arxiv-cs.CL	2022-12-03
3	Open Relation and Event Type Discovery with Type Abstraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This calls for systems that can automatically infer new types from given corpora, a task which we refer to as type discovery. To tackle this problem, we introduce the idea of type abstraction, where the model is prompted to generalize and name the type.	Sha Li; Heng Ji; Jiawei Han;	arxiv-cs.CL	2022-11-30
4	RankDNN: Learning to Rank for Few-shot Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces a new few-shot learning pipeline that casts relevance ranking for image retrieval as binary ranking relation classification.	QIANYU GUO et. al.	arxiv-cs.CV	2022-11-28
5	Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Besides, the current MNER and MRE models only consider aligning the visual objects with textual entities in visual and textual graphs but ignore the entity-entity relationships and object-object relationships. To address the above challenges, we propose an edge-enhanced graph alignment network and a word-pair relation tagging (EEGA) for JMERE task.	Li Yuan; Yi Cai; Jin Wang; Qing Li;	arxiv-cs.CL	2022-11-27
6	Towards Better Document-level Relation Extraction Via Iterative Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Existing methods usually directly predict the relations of all entity pairs of input document in a one-pass manner, ignoring the fact that predictions of some entity pairs heavily depend on the predicted results of other pairs. To deal with this issue, in this paper, we propose a novel document-level RE model with iterative inference.	LIANG ZHANG et. al.	arxiv-cs.CL	2022-11-25
7	Learning with Silver Standard Data for Zero-shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to first detect a small amount of clean data from silver standard data and then use the selected clean data to finetune the pretrained model.	Tianyin Wang; Jianwei Wang; Ziqian Zeng;	arxiv-cs.CL	2022-11-24
8	A Dataset for Hyper-Relational Extraction and A Cube-Filling Approach Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Hence, we propose CubeRE, a cube-filling model inspired by table-filling approaches and explicitly considers the interaction between relation triplets and qualifiers.	Yew Ken Chia; Lidong Bing; Sharifah Mahani Aljunied; Luo Si; Soujanya Poria;	arxiv-cs.CL	2022-11-17
9	MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Due to the annotation complexity, the data scale of existing datasets is limited, which cannot well train and evaluate data-hungry models.	XIAOZHI WANG et. al.	arxiv-cs.CL	2022-11-14
10	On Analyzing The Role of Image for Visual-enhanced Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we take an in-depth empirical analysis that indicates the inaccurate information in the visual scene graph leads to poor modal alignment weights, further degrading performance.	LEI LI et. al.	arxiv-cs.CL	2022-11-14
11	Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate confirmation bias due to the lack of feedback loops in existing LRIE learning paradigms, we develop a Gradient Imitation Reinforcement Learning (GIRL) method to encourage pseudo-labeled data to imitate the gradient descent direction on labeled data, which can force pseudo-labeled data to achieve better optimization capabilities similar to labeled data.	XUMING HU et. al.	arxiv-cs.CL	2022-11-11
12	Towards Automating Numerical Consistency Checks in Financial Reports Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce KPI-Check, a novel system that automatically identifies and cross-checks semantically equivalent key performance indicators (KPIs), e.g. revenue or total costs, in real-world German financial reports.	LARS HILLEBRAND et. al.	arxiv-cs.CL	2022-11-11
13	Unimodal and Multimodal Representation Training for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Despite being less effective, we highlight circumstances where visual information can bolster performance.	CIARAN COONEY et. al.	arxiv-cs.CL	2022-11-11
14	Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To better capture and exploit instructive information, we propose a novel expLicit syntAx Refinement and Subsentence mOdeliNg based framework (LARSON).	Zhichao Duan; Xiuxing Li; Zhenyu Li; Zhuo Wang; Jianyong Wang;	arxiv-cs.CL	2022-11-10
15	CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus, we propose the \textbf{C}ounterfactual \textbf{C}ontrastive \textbf{Prompt}-Tuning (CCPrompt) approach for many-class classification, e.g., relation classification, topic classification, and entity typing.	Yang Li; Canran Xu; Tao Shen; Jing Jiang; Guodong Long;	arxiv-cs.CL	2022-11-10
16	Active Relation Discovery: Towards General and Label-aware Open Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Existing methods cannot label human-readable and meaningful types for novel relations, which is urgently required by the downstream tasks. To address these issues, we propose the Active Relation Discovery (ARD) framework, which utilizes relational outlier detection for discriminating known and novel relations and involves active learning for labeling novel relations.	YANGNING LI et. al.	arxiv-cs.CL	2022-11-08
17	Query-based Instance Discrimination Network for Relational Triple Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: However, they still suffer from error propagation, relation redundancy and lack of high-level connections between triples. To address these issues, we propose a novel query-based approach to construct instance-level representations for relational triples.	ZEQI TAN et. al.	arxiv-cs.CL	2022-11-03
18	Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we introduce cross-stitch bi-encoders, which allow full interaction between the text encoder and the KG encoder via a cross-stitch mechanism.	Qin Dai; Benjamin Heinzerling; Kentaro Inui;	arxiv-cs.CL	2022-11-02
19	Entity-centered Cross-document Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We compare our cross-document RE method with the state-of-the-art methods in the dataset CodRED.	FENGQI WANG et. al.	arxiv-cs.CL	2022-10-29
20	SPOT: Knowledge-Enhanced Language Representations for Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Moreover, existing models still struggle to represent entities and relationships simultaneously. To address these problems, we propose a new pre-trained model that learns representations of both entities and relationships from token spans and span pairs in the text respectively.	JIACHENG LI et. al.	cikm	2022-10-29
21	Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In addition, there is a possibility of losing lexical information of the relations among entities directly expressed in a sentence. To address this issue, we propose two novel graph structures: an anaphoric graph and a local-context graph.	Seongsik Park; Dongkeun Yoon; Harksoo Kim;	cikm	2022-10-29
22	Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a generic SRE paradigm, called Co-Training with Validation (CTV), for making full use of learners to benefit more from unlabeled corpus.	Shun Zhang; Xiangkui Lu; Jun Wu;	cikm	2022-10-29
23	Evidence-aware Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Moreover, there often exist strong semantic correlations between evidence sentences that collaborate together to describe a specific relation. To address these challenges, we propose a novel evidence-aware model for document-level RE.	TIANYU XU et. al.	cikm	2022-10-29
24	Can We Have Both Fish and Bear’s Paw?: Improving Performance, Reliability, and Both of Them for Relation Extraction Under Label Shift Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we make contributions by answering the following three questions: 1) How to improve performance of DS-RE models under label shift?	YU HONG et. al.	cikm	2022-10-29
25	PromptORE – A Novel Approach Towards Fully Unsupervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To mitigate the reliance on hyperparameters, we propose PromptORE, a "Prompt-based Open Relation Extraction" model.	Pierre-Yves Genest; Pierre-Edouard Portier; Elöd Egyed-Zsigmond; Laurent-Walter Goix;	cikm	2022-10-29
26	DORE: Document Ordered Relation Extraction Based on Generative Framework Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we investigate the root cause of the underwhelming performance of the existing generative DocRE models and discover that the culprit is the inadequacy of the training paradigm, instead of the capacities of the models.	Qipeng Guo; Yuqing Yang; Hang Yan; Xipeng Qiu; Zheng Zhang;	arxiv-cs.CL	2022-10-28
27	ReSel: N-ary Relation Extraction from Scientific Text and Tables By Learning to Retrieve and Select Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We study the problem of extracting N-ary relation tuples from scientific articles.	YUCHEN ZHUANG et. al.	arxiv-cs.CL	2022-10-25
28	Multilingual Relation Classification Via Efficient and Effective Prompting Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present the first work on prompt-based multilingual relation classification (RC), by introducing an efficient and effective method that constructs prompts from relation triples and involves only minimal translation for the class labels.	Yuxuan Chen; David Harbecke; Leonhard Hennig;	arxiv-cs.CL	2022-10-25
29	Better Few-Shot Relation Extraction with Label Prompt Dropout Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Instead, we present a novel approach called label prompt dropout, which randomly removes label descriptions in the learning process.	Peiyuan Zhang; Wei Lu;	arxiv-cs.CL	2022-10-24
30	Augmenting Task-Oriented Dialogue Systems with Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose integration of relation extraction into this pipeline as an effective way to expand the capabilities of dialogue systems.	Andrew Lee; Zhenguo Chen; Kevin Leach; Jonathan K. Kummerfeld;	arxiv-cs.CL	2022-10-24
31	Span-based Joint Entity and Relation Extraction Augmented with Sequence Tagging Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Sequence Tagging augmented Span-based Network (STSN), a span-based joint model that can make use of token-level label information.	BIN JI et. al.	arxiv-cs.CL	2022-10-23
32	PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce four natural language processing tasks: sentence classification, named entity recognition, relation classification, and joint extraction of entities and relations.	XIANJUN YANG et. al.	arxiv-cs.CL	2022-10-22
33	Generative Prompt Tuning for Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Inspired by the text infilling task for pre-training generative models that can flexibly predict missing spans, we propose a novel generative prompt tuning method to reformulate relation classification as an infilling problem, which frees our approach from limitations of current prompt based approaches and thus fully exploits rich semantics of entity and relation types.	Jiale Han; Shuai Zhao; Bo Cheng; Shengkun Ma; Wei Lu;	arxiv-cs.CL	2022-10-22
34	Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a simple enhancement of RE using $k$ nearest neighbors ($k$NN-RE).	ZHEN WAN et. al.	arxiv-cs.CL	2022-10-21
35	Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore the utility of pre-trained sentence embeddings as base representations in a neural network for implicit discourse relation sense classification.	Murali Raghu Babu Balusu; Yangfeng Ji; Jacob Eisenstein;	arxiv-cs.CL	2022-10-20
36	Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a multi-view consistent contrastive learning for a more complete semantics-to-equation mapping.	WENQI ZHANG et. al.	arxiv-cs.CL	2022-10-20
37	Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper presents an empirical study to build relation extraction systems in low-resource settings.	XIN XU et. al.	arxiv-cs.CL	2022-10-19
38	Knowledge Graph Enhanced Relation Extraction Datasets Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Knowledge-enhanced methods that take advantage of auxiliary knowledge graphs recently emerged in relation extraction, and they surpass traditional text-based relation extraction …	YUCONG LIN et. al.	arxiv-cs.LG	2022-10-19
39	CEntRE: A Paragraph-level Chinese Dataset for Relation Extraction Among Enterprises Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To encourage further progress in the research, we introduce the CEntRE, a new dataset constructed from publicly available business news data with careful human annotation and intelligent data processing.	PEIPEI LIU et. al.	arxiv-cs.CL	2022-10-19
40	KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is to extract Key Performance Indicators (KPIs) from financial documents and link them to their numerical values and other attributes.	TOBIAS DEUSSER et. al.	arxiv-cs.CL	2022-10-17
41	CrossRE: A Cross-Domain Dataset for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Little is known on how well a RE system fares in challenging, but realistic out-of-distribution evaluation setups. To address this gap, we propose CrossRE, a new, freely-available cross-domain benchmark for RE, which comprises six distinct text domains and includes multi-label annotations.	Elisa Bassignana; Barbara Plank;	arxiv-cs.CL	2022-10-17
42	Towards Relation Extraction From Speech Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a new listening information extraction task, i.e., speech relation extraction.	TONGTONG WU et. al.	arxiv-cs.CL	2022-10-17
43	A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To solve the common incomplete labeling problem, we propose a unified positive-unlabeled learning framework – shift and squared ranking loss positive-unlabeled (SSR-PU) learning.	Ye Wang; Xinxin Liu; Wenxin Hu; Tao Zhang;	arxiv-cs.CL	2022-10-16
44	RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To generalize to new relations more effectively, this paper proposes a novel pipeline for the FSRE task based on queRy-information guided Attention and adaptive Prototype fuSion, namely RAPS.	Yuzhe Zhang; Min Cen; Tongzhou Wu; Hong Zhang;	arxiv-cs.CL	2022-10-15
45	Confidence Estimation of Classification Based on The Distribution of The Neural Network Output Layer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose novel methods that, given a neural network classification model, estimate uncertainty of particular predictions generated by this model.	Abdel Aziz Taha; Leonhard Hennig; Petr Knoth;	arxiv-cs.CL	2022-10-14
46	Iterative Document-level Information Extraction Via Imitation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel iterative extraction (IterX) model for extracting complex relations, or templates, i.e., N-tuples representing a mapping from named slots to spans of text contained within a document.	YUNMO CHEN et. al.	arxiv-cs.CL	2022-10-12
47	PP-StructureV2: A Stronger Document Analysis System Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: For Layout Analysis model, we introduce ultra light-weight detector PP-PicoDet and knowledge distillation algorithm FGD for model lightweighting, which increased the inference speed by 11 times with comparable mAP.	CHENXIA LI et. al.	arxiv-cs.CV	2022-10-11
48	Improving Continual Relation Extraction Through Prototypical Contrastive Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Continual relation extraction (CRE) aims to extract relations towards the continuous and iterative arrival of new data, of which the major challenge is the catastrophic forgetting of old tasks. In order to alleviate this critical problem for enhanced CRE performance, we propose a novel Continual Relation Extraction framework with Contrastive Learning, namely CRECL, which is built with a classification network and a prototypical contrastive network to achieve the incremental-class learning of CRE.	Chengwei Hu; Deqing Yang; Haoliang Jin; Zhen Chen; Yanghua Xiao;	arxiv-cs.IR	2022-10-10
49	Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we seek to improve the faithfulness of TempRel extraction models from two perspectives.	HAOYU WANG et. al.	arxiv-cs.CL	2022-10-10
50	Learning Robust Representations for Continual Relation Extraction Via Adversarial Class Augmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Most previous work attributes catastrophic forgetting to the corruption of the learned representations as new relations come, with an implicit assumption that the CRE models have adequately learned the old relations. In this paper, through empirical studies we argue that this assumption may not hold, and an important reason for catastrophic forgetting is that the learned representations do not have good robustness against the appearance of analogous relations in the subsequent learning process.	PEIYI WANG et. al.	arxiv-cs.CL	2022-10-10
51	ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose $\textbf{ConstGCN}$, a novel graph convolutional network which performs knowledge-based information propagation between entities along with all specific relation spaces without any prior graph construction.	JI QI et. al.	arxiv-cs.CL	2022-10-08
52	Putting Them Under Microscope: A Fine-Grained Approach for Detecting Redundant Test Cases in Natural Language Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Following that, we propose Tscope, a fine-grained approach for redundant NL test case detection by dissecting test cases into atomic test tuple(s) with the entities restricted by associated relations.	Zhiyuan Chang; Mingyang Li; Junjie Wang; Qing Wang; Shoubin Li;	arxiv-cs.SE	2022-10-04
53	TERMinator: A System for Scientific Texts Processing Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present a dataset that includes annotations for two tasks and develop a system called TERMinator for the study of the influence of language models on term recognition and comparison of different approaches for relation extraction.	Elena Bruches; Olga Tikhobaeva; Yana Dementyeva; Tatiana Batura;	arxiv-cs.CL	2022-09-29
54	A Unified Generative Framework Based on Prompt Learning for Various Information Extraction Tasks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel composable prompt-based generative framework, which could be applied to a wide range of tasks in the field of Information Extraction.	ZHIGANG KAN et. al.	arxiv-cs.IR	2022-09-23
55	Generalizing Through Forgetting — Domain Generalization for Symptom Event Extraction in Clinical Notes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present domain generalization for symptom extraction using pretraining and fine-tuning data that differs from the target domain in terms of institution and/or specialty and patient population.	Sitong Zhou; Kevin Lybarger; Meliha Yetisgen Mari Ostendorf;	arxiv-cs.CL	2022-09-20
56	Automatic Error Analysis for Document-level Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We build on the work of Kummerfeld and Klein (2013) to propose a transformation-based framework for automating error analysis in document-level event and (N-ary) relation extraction.	ALIVA DAS et. al.	arxiv-cs.CL	2022-09-15
57	STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present a simple yet effective self-training approach, named as STAD, for low-resource relation extraction.	Junjie Yu; Xing Wang; Jiangjiang Zhao; Chunjie Yang; Wenliang Chen;	arxiv-cs.CL	2022-09-03
58	Less Is More: Rethinking State-of-the-art Continual Relation Extraction Models with A Frustratingly Easy But Effective Approach Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Frustratingly easy but Effective Approach (FEA) method with two learning stages for CRE: 1) Fast Adaption (FA) warms up the model with only new data.	PEIYI WANG et. al.	arxiv-cs.CL	2022-09-01
59	Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Learning how to fuse this information has proved challenging for transformer-based language models. Therefore, we present MulCo: Multi-Scale Contrastive Co-Training, a technique for the better fusion of local and global contextualized features.	Hao-Ren Yao; Luke Breitfeller; Aakanksha Naik; Chunxiao Zhou; Carolyn Rose;	arxiv-cs.CL	2022-09-01
60	Supporting Medical Relation Extraction Via Causality-Pruned Semantic Dependency Forest Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we propose a method to jointly model semantic and syntactic information from medical texts based on causal explanation theory.	Yifan Jin; Jiangmeng Li; Zheng Lian; Chengbo Jiao; Xiaohui Hu;	arxiv-cs.CL	2022-08-29
61	GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To effectively exploit inherent knowledge of PLMs without extra layers and consider scattered semantic cues on the relation between the arguments, we propose a Guiding model with RelAtional Semantics using Prompt (GRASP).	Junyoung Son; Jinsung Kim; Jungwoo Lim; Heuiseok Lim;	arxiv-cs.CL	2022-08-26
62	A Two-Phase Paradigm for Joint Entity-Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: However, these models sample a large number of negative entities and negative relations during the model training, which are essential but result in grossly imbalanced data distributions and in turn cause suboptimal model performance. In order to address the above issues, we propose a two-phase paradigm for the span-based joint entity and relation extraction, which involves classifying the entities and relations in the first phase, and predicting the types of these entities and relations in the second phase.	BIN JI et. al.	arxiv-cs.CL	2022-08-18
63	A Sequence Tagging Based Framework for Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by the distance-based few-shot named entity recognition methods, we put forward the definition of the few-shot RE task based on the sequence tagging joint extraction approaches, and propose a few-shot RE framework for the task.	Xukun Luo; Ping Wang;	arxiv-cs.CL	2022-08-16
64	A Hybrid Model of Classification and Generation for Spatial Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Extracting spatial relations from texts is a fundamental task for natural language understanding and previous studies only regard it as a classification task, ignoring those spatial relations with null roles due to their poor information. To address the above issue, we first view spatial relation extraction as a generation task and propose a novel hybrid model HMCGR for this task.	Feng Wang Peifeng Li; Qiaoming Zhu;	arxiv-cs.CL	2022-08-14
65	SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose SagDRE model, which further considers and captures the original sequential information from the text.	Ying Wei; Qi Li;	kdd	2022-08-12
66	KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present KPI-BERT, a system which employs novel methods of named entity recognition (NER) and relation extraction (RE) to extract and link key performance indicators (KPIs), e.g. revenue or interest expenses, of companies from real-world German financial documents.	LARS HILLEBRAND et. al.	arxiv-cs.CL	2022-08-03
67	Joint Learning-based Causal Relation Extraction from Biomedical Literature Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a joint learning model, which combines entity relation extraction and entity function detection to exploit their commonality and capture their inter-relationship, so as to improve the performance of biomedical causal relation extraction.	DONGLING LI et. al.	arxiv-cs.CL	2022-08-02
68	Improving Distantly Supervised Relation Extraction By Natural Language Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel DSRE-NLI framework, which considers both distant supervision from existing knowledge bases and indirect supervision from pretrained language models for other tasks.	Kang Zhou; Qiao Qiao; Yuepei Li; Qi Li;	arxiv-cs.CL	2022-07-30
69	Enhancing Document-level Relation Extraction By Entity Knowledge Injection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose an entity knowledge injection framework to enhance current document-level RE models.	Xinyi Wang; Zitao Wang; Weijian Sun; Wei Hu;	arxiv-cs.CL	2022-07-23
70	An Overview of Distant Supervision for Relation Extraction with A Focus on Denoising and Pre-training Methods Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation Extraction (RE) is a foundational task of natural language processing. RE seeks to transform raw, unstructured text into structured knowledge by identifying relational …	William Hogan;	arxiv-cs.CL	2022-07-17
71	Relation Extraction As Open-book Examination: Retrieval-enhanced Prompt Tuning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Those long-tailed or hard patterns can hardly be memorized in parameters given few-shot instances. To this end, we regard RE as an open-book examination and propose a new semiparametric paradigm of retrieval-enhanced prompt tuning for relation extraction.	XIANG CHEN et. al.	sigir	2022-07-12
72	Biographical Semi-Supervised Relation Extraction Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The dataset, which is aimed towards digital humanities (DH) and historical research, is automatically compiled by aligning sentences from Wikipedia articles with matching structured data from sources including Pantheon and Wikidata.	Alistair Plum; Tharindu Ranasinghe; Spencer Jones; Constantin Orasan; Ruslan Mitkov;	sigir	2022-07-12
73	Few-Shot Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present FREDo, a few-shot document-level relation extraction (FSDLRE) benchmark.	Nicholas Popovic; Michael F?rber;	naacl	2022-07-09
74	Joint Extraction of Entities, Relations, and Events Via Modeling Inter-Instance and Inter-Label Dependencies Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: However, previous JointIE models often assume heuristic manually-designed dependency between the task instances and mean-field factorization for the joint distribution of instance labels, thus unable to capture optimal dependencies among instances and labels to improve representation learning and IE performance. To overcome these limitations, we propose to induce a dependency graph among task instances from data to boost representation learning.	Minh Van Nguyen; Bonan Min; Franck Dernoncourt; Thien Nguyen;	naacl	2022-07-09
75	Modeling Multi-Granularity Hierarchical Features for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel method to extract multi-granularity features based solely on the original input sentences.	Xinnian Liang; Shuangzhi Wu; Mu Li; Zhoujun Li;	naacl	2022-07-09
76	A Dataset for N-ary Relation Extraction of Drug Combinations Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To assist medical professionals in identifying beneficial drug-combinations, we construct an expert-annotated dataset for extracting information about the efficacy of drug combinations from the scientific literature.	ARYEH TIKTINSKY et. al.	naacl	2022-07-09
77	Document-Level Relation Extraction with Sentences Importance Estimation and Focusing Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we propose a Sentence Importance Estimation and Focusing (SIEF) framework for DocRE, where we design a sentence importance score and a sentence focusing loss, encouraging DocRE models to focus on evidence sentences.	Wang Xu; Kehai Chen; Lili Mou; Tiejun Zhao;	naacl	2022-07-09
78	Relation-Specific Attentions Over Entity Mentions for Enhanced Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: As a result, the distinct semantics between the different mentions of an entity are overlooked. To address this problem, we propose RSMAN in this paper which performs selective attentions over different entity mentions with respect to candidate relations.	Jiaxin Yu; Deqing Yang; Shuyu Tian;	naacl	2022-07-09
79	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Existing works either utilize self-supervised schemes to refine relational feature signals by iteratively leveraging adaptive clustering and classification that provoke gradual drift problems, or adopt instance-wise contrastive learning which unreasonably pushes apart those sentence pairs that are semantically similar. To overcome these defects, we propose a novel contrastive learning framework named HiURE, which has the capability to derive hierarchical signals from relational feature space using cross hierarchy attention and effectively optimize relation representation of sentences under exemplar-wise contrastive learning.	SHULIANG LIU et. al.	naacl	2022-07-09
80	Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Especially, we address the two-way interaction between COREF and RE that has not been the focus by previous work, and propose to introduce explicit interaction namely Graph Compatibility (GC) that is specifically designed to leverage task characteristics, bridging decisions of two tasks for direct task interference.	Liyan Xu; Jinho Choi;	naacl	2022-07-09
81	EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: While existing works only explore entity representations, we propose to explicitly introduce relation representation, jointly represent it with entities, and novelly align them to identify valid triples.	BENFENG XU et. al.	naacl	2022-07-09
82	SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In contrast, we propose to explicitly teach the model to capture relevant contexts and entity types by supervising and augmenting intermediate steps (SAIS) for RE.	Yuxin Xiao; Zecheng Zhang; Yuning Mao; Carl Yang; Jiawei Han;	naacl	2022-07-09
83	Generic and Trend-aware Curriculum Learning for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a generic and trend-aware curriculum learning approach that effectively integrates textual and structural information in text graphs for relation extraction between entities, which we consider as node pairs in graphs.	Nidhi Vakil; Hadi Amiri;	naacl	2022-07-09
84	Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose the CoRE (Counterfactual Analysis based Relation Extraction) debiasing method that guides the RE models to focus on the main effects of textual context without losing the entity information.	YIWEI WANG et. al.	naacl	2022-07-09
85	ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we introduce ViRel, a method for unsupervised discovery and learning of Visual Relations with graph-level analogy.	Daniel Zeng; Tailin Wu; Jure Leskovec;	arxiv-cs.CV	2022-07-04
86	Document-level Relation Extraction Via Subgraph Reasoning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel subgraph reasoning (SGR) framework for document-level relation extraction.	Xingyu Peng; Chong Zhang; Ke Xu;	ijcai	2022-07-01
87	Position-aware Joint Entity and Relation Extraction with Attention Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In our work, we propose a joint entity and relation extraction model with an attention mechanism and position-attentive markers.	Chenglong Zhang; Shuyong Gao; Haofen Wang; Wenqiang Zhang;	ijcai	2022-07-01
88	Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a function words adaptively enhanced attention framework (FAEA) for few-shot inverse relation classification, in which a hybrid attention model is designed to attend class-related function words based on meta-learning.	Chunliu Dou; Shaojuan Wu; Xiaowang Zhang; Zhiyong Feng; Kewen Wang;	ijcai	2022-07-01
89	Interactive Information Extraction By Semantic Information Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome the shortages, we propose an Interactive Information Extraction (InterIE) model based on a novel Semantic Information Graph (SIG).	SIQI FAN et. al.	ijcai	2022-07-01
90	FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: The main efficiency bottleneck is that these methods use a Transformer-based pre-trained language model for encoding, which heavily affects the training speed and inference speed. To address this issue, we propose a fast relation extraction model (FastRE) based on convolutional encoder and improved cascade binary tagging framework.	Guozheng Li; Xu Chen; Peng Wang; Jiafeng Xie; Qiqing Luo;	ijcai	2022-07-01
91	Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we investigate a novel dialogue-level mixed dependency graph (D2G) and an argument reasoning graph (ARG) for DiaRE with a global relation reasoning mechanism.	HAO FEI et. al.	ijcai	2022-07-01
92	None Class Ranking Loss for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This ignores the context of entity pairs and the label correlations between the none class and pre-defined classes, leading to sub-optimal predictions. To address this problem, we propose a new multi-label loss that encourages large margins of label confidence scores between each pre-defined class and the none class, which enables captured label correlations and context-dependent thresholding for label prediction.	Yang Zhou; Wee Sun Lee;	ijcai	2022-07-01
93	Contextualization and Generalization in Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this thesis, we study the behaviour of state-of-the-art models regarding generalization to facts unseen during training in two important Information Extraction tasks: Named Entity Recognition (NER) and Relation Extraction (RE).	Bruno Taillé;	arxiv-cs.CL	2022-06-15
94	REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: However, we observe two shortcomings of previous methods: first, there is no unified framework that works well under various relation extraction settings; second, effectively utilizing external knowledge as background information is absent. In this work, we propose a knowledge-enhanced generative model to mitigate these two issues.	Sheng Zhang; Patrick Ng; Zhiguo Wang; Bing Xiang;	arxiv-cs.CL	2022-06-10
95	RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper shows that modeling an effective message-passing flow through an attention mechanism can be critical to tackling the compositionality and long-tail challenges in VRR.	Jun Chen; Aniket Agarwal; Sherif Abdelkarim; Deyao Zhu; Mohamed Elhoseiny;	cvpr	2022-06-07
96	VRDFormer: End-to-End Video Visual Relation Detection With Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Most previous works adopt a multi-stage framework for video visual relation detection (VidVRD), which cannot capture long-term spatiotemporal contexts in different stages and also suffers from inefficiency. In this paper, we propose a transformerbased framework called VRDFormer to unify these decoupling stages.	Sipeng Zheng; Shizhe Chen; Qin Jin;	cvpr	2022-06-07
97	MORE: A Metric Learning Based Framework for Open-domain Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Most existing OpenRE methods either do not fully benefit from high-quality labeled corpora or can not learn semantic representation directly, affecting downstream clustering efficiency. To address these problems, in this work, we propose a novel learning framework named MORE (Metric learning-based Open Relation Extraction).	Yutong Wang; Renze Lou; Kai Zhang; MaoYan Chen; Yujiu Yang;	arxiv-cs.CL	2022-06-01
98	Fine-grained Contrastive Learning for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose fine-grained contrastive learning (FineCL) for RE, which leverages fine-grained information about which silver labels are and are not noisy to improve the quality of learned relationship representations for RE.	William Hogan; Jiacheng Li; Jingbo Shang;	arxiv-cs.CL	2022-05-25
99	Large Language Models Are Few-Shot Clinical Information Extractors Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we show that large language models, such as InstructGPT, perform well at zero- and few-shot information extraction from clinical text despite not being trained specifically for the clinical domain.	Monica Agrawal; Stefan Hegselmann; Hunter Lang; Yoon Kim; David Sontag;	arxiv-cs.CL	2022-05-25
100	Revisiting DocRED — Addressing The False Negative Problem in Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We analyze the causes and effects of the overwhelming false negative problem in the DocRED dataset.	Qingyu Tan; Lu Xu; Lidong Bing; Hwee Tou Ng; Sharifah Mahani Aljunied;	arxiv-cs.CL	2022-05-25
101	An Embarrassingly Simple Model for Dialogue Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a simple yet effective model named SimpleRE for the RE task.	F. Xue; A. Sun; H. Zhang; J. Ni; E. -S. Chng;	icassp	2022-05-22
102	A Knowledge/Data Enhanced Method for Joint Event and Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate those issues, we propose a Knowledge/Data Enhanced method for Event and TempRel Extraction, which integrates the temporal commonsense knowledge, data augmentation and Focal Loss function into one single extraction system.	X. Zhang; L. Zang; P. Cheng; Y. Wang; S. Hu;	icassp	2022-05-22
103	Improving Long Tailed Document-Level Relation Extraction Via Easy Relation Augmentation and Contrastive Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by the long-tailed distribution problem, we propose an Easy Relation Augmentation(ERA) method for improving DocRE by enhancing the performance of tailed relations.	YANGKAI DU et. al.	arxiv-cs.CL	2022-05-21
104	DeepStruct: Pretraining of Language Models for Structure Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce a method for improving the structural understanding abilities of language models.	CHENGUANG WANG et. al.	arxiv-cs.CL	2022-05-20
105	Why Only Micro-F1? Class Weighting of Measures for Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we analyze weighting schemes, such as micro and macro, for imbalanced datasets.	David Harbecke; Yuxuan Chen; Leonhard Hennig; Christoph Alt;	arxiv-cs.CL	2022-05-19
106	Summarization As Indirect Supervision for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present SuRE, which converts RE into a summarization formulation.	Keming Lu; I-Hung Hsu; Wenxuan Zhou; Mingyu Derek Ma; Muhao Chen;	arxiv-cs.CL	2022-05-19
107	A Simple Yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Thus, this paper proposes a direct addition approach to introduce relation information.	Yang Liu; Jinpeng Hu; Xiang Wan; Tsung-Hui Chang;	arxiv-cs.CL	2022-05-19
108	Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a weighted contrastive learning method by leveraging the supervised data to estimate the reliability of pre-training instances and explicitly reduce the effect of noise.	ZHEN WAN et. al.	arxiv-cs.CL	2022-05-18
109	Automatic Rule Induction for Interpretable Semi-Supervised Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Meanwhile, pretrained transformer models act as black-box correlation engines that are difficult to explain and sometimes behave unreliably. In this paper, we propose tackling both of these challenges via Automatic Rule Induction (ARI), a simple and general-purpose framework for the automatic discovery and integration of symbolic rules into pretrained transformer models.	Reid Pryzant; Ziyi Yang; Yichong Xu; Chenguang Zhu; Michael Zeng;	arxiv-cs.CL	2022-05-18
110	Packed Levitated Marker for Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose a novel span representation approach, named Packed Levitated Markers (PL-Marker), to consider the interrelation between the spans (pairs) by strategically packing the markers in the encoder.	Deming Ye; Yankai Lin; Peng Li; Maosong Sun;	acl	2022-05-17
111	PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In response, we explore a simple baseline approach (PARE) in which all sentences of a bag are concatenated into a passage of sentences, and encoded jointly using BERT.	Vipul Rathore; Kartikeya Badola; Parag Singla; Mausam .;	acl	2022-05-17
112	Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Furthermore, we observe that the models trained on DocRED have low recall on our relabeled dataset and inherit the same bias in the training data. Through the analysis of annotators’ behaviors, we figure out the underlying reason for the problems above: the scheme actually discourages annotators from supplementing adequate instances in the revision phase.	QUZHE HUANG et. al.	acl	2022-05-17
113	Pre-training to Match for Unified Low-shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose Multi-Choice Matching Networks to unify low-shot relation extraction.	Fangchao Liu; Hongyu Lin; Xianpei Han; Boxi Cao; Le Sun;	acl	2022-05-17
114	Text-to-Table: A New Way of Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we formalize text-to-table as a sequence-to-sequence (seq2seq) problem.	Xueqing Wu; Jiacheng Zhang; Hang Li;	acl	2022-05-17
115	Event-Event Relation Extraction Using Probabilistic Box Embedding Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose to modify the underlying ERE model to guarantee coherence by representing each event as a box representation (BERE) without applying explicit constraints.	EUNJEONG HWANG et. al.	acl	2022-05-17
116	Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a generic and trend-aware curriculum learning approach for graph neural networks.	Nidhi Vakil; Hadi Amiri;	arxiv-cs.CL	2022-05-17
117	DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Our goal is to study the novel task of distant supervision for multilingual relation extraction (Multi DS-RE).	Abhyuday Bhartiya; Kartikeya Badola; Mausam .;	acl	2022-05-17
118	Pre-trained Language Models As Re-Annotators Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We proposed a novel credibility score to reveal the likelihood of annotation inconsistencies based on the neighbouring consistency.	Chang Shu;	arxiv-cs.CL	2022-05-11
119	GRAPHCACHE: Message Passing As Caching for Sentence-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the GRAPHCACHE (Graph Neural Network as Caching) module, that propagates the features across sentences to learn better representations for RE.	YIWEI WANG et. al.	arxiv-cs.CL	2022-05-08
120	Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: However, existing approaches for MNER and MRE usually suffer from error sensitivity when irrelevant object images incorporated in texts. To deal with these issues, we propose a novel Hierarchical Visual Prefix fusion NeTwork (HVPNeT) for visual-enhanced entity and relation extraction, aiming to achieve more effective and robust performance.	XIANG CHEN et. al.	arxiv-cs.CL	2022-05-06
121	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Existing works either utilize self-supervised schemes to refine relational feature signals by iteratively leveraging adaptive clustering and classification that provoke gradual drift problems, or adopt instance-wise contrastive learning which unreasonably pushes apart those sentence pairs that are semantically similar. To overcome these defects, we propose a novel contrastive learning framework named HiURE, which has the capability to derive hierarchical signals from relational feature space using cross hierarchy attention and effectively optimize relation representation of sentences under exemplar-wise contrastive learning.	SHULIANG LIU et. al.	arxiv-cs.CL	2022-05-04
122	Few-Shot Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present FREDo, a few-shot document-level relation extraction (FSDLRE) benchmark.	Nicholas Popovic; Michael Färber;	arxiv-cs.CL	2022-05-04
123	Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Especially, we address the two-way interaction between COREF and RE that has not been the focus by previous work, and propose to introduce explicit interaction namely Graph Compatibility (GC) that is specifically designed to leverage task characteristics, bridging decisions of two tasks for direct task interference.	Liyan Xu; Jinho D. Choi;	arxiv-cs.CL	2022-05-04
124	Biographical: A Semi-Supervised Relation Extraction Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The dataset, which is aimed towards digital humanities (DH) and historical research, is automatically compiled by aligning sentences from Wikipedia articles with matching structured data from sources including Pantheon and Wikidata.	Alistair Plum; Tharindu Ranasinghe; Spencer Jones; Constantin Orasan; Ruslan Mitkov;	arxiv-cs.IR	2022-05-02
125	KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Furthermore, there exists abundant semantic and prior knowledge among the relation labels that cannot be ignored. To this end, we focus on incorporating knowledge among relation labels into prompt-tuning for relation extraction and propose a Knowledge-aware Prompt-tuning approach with synergistic optimization (KnowPrompt).	XIANG CHEN et. al.	www	2022-04-29
126	What Do You Mean By Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: At the same time, setup clarity has decreased, contributing to increased difficulty of reliable empirical evaluation (Taill\’e et al., 2020). In this paper, we provide a comprehensive survey of RE datasets, and revisit the task definition and its adoption by the community.	Elisa Bassignana; Barbara Plank;	arxiv-cs.CL	2022-04-28
127	CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe the design and use of the CREER dataset, a large corpus annotated with rich English grammar and semantic attributes.	Yu-Siou Tang; Chung-Hsien Wu;	arxiv-cs.CL	2022-04-27
128	Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a function words adaptively enhanced attention framework (FAEA) for few-shot inverse relation classification, in which a hybrid attention model is designed to attend class-related function words based on meta-learning.	Chunliu Dou; Shaojuan Wu; Xiaowang Zhang; Zhiyong Feng; Kewen Wang;	arxiv-cs.CL	2022-04-26
129	It Takes Two Flints to Make A Fire: Multitask Learning of Neural Relation and Explanation Classifiers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals.	Zheng Tang; Mihai Surdeanu;	arxiv-cs.CL	2022-04-24
130	Decorate The Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a simple yet effective method to systematically generate comprehensive prompts that reformulate the relation extraction task as a cloze-test task under a simple prompt formulation.	Hui-Syuan Yeh; Thomas Lavergne; Pierre Zweigenbaum;	arxiv-cs.CL	2022-04-21
131	Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR) Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In a corpus analysis we find that over 80 % of documents contain relevant entities.	Amelie Wührl; Roman Klinger;	arxiv-cs.CL	2022-04-21
132	A Masked Image Reconstruction Network for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Document-level Relation Extraction model based on a Masked Image Reconstruction network (DRE-MIR), which models inference as a masked image reconstruction problem to capture the correlations between relationships.	Liang Zhang; Yidong Cheng;	arxiv-cs.CL	2022-04-20
133	FREDA: Flexible Relation Extraction Data Annotation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We are proposing an approach in order to produce high-quality datasets for the task of Relation Extraction quickly.	Michael Strobl; Amine Trabelsi; Osmar Zaiane;	arxiv-cs.CL	2022-04-14
134	A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce ChemDisGene, a new dataset for training and evaluating multi-class multi-label document-level biomedical relation extraction models.	Dongxu Zhang; Sunil Mohan; Michaela Torkar; Andrew McCallum;	arxiv-cs.CL	2022-04-13
135	MedDistant19: Towards An Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Furthermore, we noticed several inconsistencies in the data construction process of these benchmarks, and where there is no train-test leakage, the focus is on interactions between narrower entity types. This work presents a more accurate benchmark MedDistant19 for broad-coverage distantly supervised biomedical relation extraction that addresses these shortcomings and is obtained by aligning the MEDLINE abstracts with the widely used SNOMED Clinical Terms knowledge base.	Saadullah Amin; Pasquale Minervini; David Chang; Pontus Stenetorp; Günter Neumann;	arxiv-cs.CL	2022-04-10
136	BioRED: A Rich Biomedical Relation Extraction Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We assess the utility of BioRED by benchmarking several existing state-of-the-art methods, including BERT-based models, on the NER and RE tasks.	Ling Luo; Po-Ting Lai; Chih-Hsuan Wei; Cecilia N Arighi; Zhiyong Lu;	arxiv-cs.CL	2022-04-08
137	A Sequence-to-sequence Approach for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we develop a sequence-to-sequence approach, seq2rel, that can learn the subtasks of DocRE (entity extraction, coreference resolution and relation extraction) end-to-end, replacing a pipeline of task-specific components.	John Giorgi; Gary D. Bader; Bo Wang;	arxiv-cs.CL	2022-04-03
138	NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Despite their great successes, these graph-based methods, which normally only consider the words within the mentions in the process of building graphs and reasoning, tend to ignore the non-entity clue words that are not in the mentions but provide important clue information for relation reasoning. To alleviate this problem, we treat graph-based document-level RE models as an encoder-decoder framework, which typically uses a pre-trained language model as the encoder and a GNN model as the decoder, and propose a novel graph-based model NC-DRE that introduces decoder-to-encoder attention mechanism to leverage Non-entity Clue information for Document-level Relation Extraction.	Liang Zhang; Yidong Cheng;	arxiv-cs.CL	2022-04-01
139	Improving Persian Relation Extraction Models By Data Augmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present our augmented dataset and the results and findings of our system, participated in the Persian relation Extraction shared task of NSURL 2021 workshop.	Moein Salimi Sartakhti; Romina Etezadi; Mehrnoush Shamsfard;	arxiv-cs.CL	2022-03-29
140	A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel model, called Densely Connected Criss-Cross Attention Network (Dense-CCNet), for document-level RE, which can complete logical reasoning at the entity-pair-level.	Liang Zhang; Yidong Cheng;	arxiv-cs.CL	2022-03-25
141	Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a semi-supervised framework for DocRE with three novel components.	Qingyu Tan; Ruidan He; Lidong Bing; Hwee Tou Ng;	arxiv-cs.CL	2022-03-21
142	Learning to Reason Deductively: Math Word Problem Solving As Complex Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we view the task as a complex relation extraction problem, proposing a novel approach that presents explainable deductive reasoning steps to iteratively construct target expressions, where each step involves a primitive operation over two quantities defining their relation.	Zhanming Jie; Jierui Li; Wei Lu;	arxiv-cs.CL	2022-03-19
143	BIOS: An Algorithmically Generated Biomedical Knowledge Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce the Biomedical Informatics Ontology System (BIOS), the first large-scale publicly available BioMedKG generated completely by machine learning algorithms.	SHENG YU et. al.	arxiv-cs.CL	2022-03-18
144	RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce the task setting of Zero-Shot Relation Triplet Extraction (ZeroRTE) to encourage further research in low-resource relation extraction methods.	Yew Ken Chia; Lidong Bing; Soujanya Poria; Luo Si;	arxiv-cs.CL	2022-03-17
145	Multimodal Learning on Graphs for Disease Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Methods: We introduce REMAP, a multimodal approach for disease relation extraction and classification.	Yucong Lin; Keming Lu; Sheng Yu; Tianxi Cai; Marinka Zitnik;	arxiv-cs.LG	2022-03-16
146	Cross-lingual Inference with A Chinese Entailment Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present the first pipeline for building Chinese entailment graphs, which involves a novel high-recall open relation extraction (ORE) method and the first Chinese fine-grained entity typing dataset under the FIGER type ontology.	Tianyi Li; Sabine Weber; Mohammad Javad Hosseini; Liane Guillou; Mark Steedman;	arxiv-cs.CL	2022-03-11
147	OneRel:Joint Entity and Relation Extraction with One Module in One Step Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these issues, in this paper, we propose a novel joint entity and relation extraction model, named OneRel, which casts joint extraction as a fine-grained triple classification problem.	Yu-Ming Shang; Heyan Huang; Xian-Ling Mao;	arxiv-cs.CL	2022-03-10
148	AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First — Using Relation Extraction to Identify Entities Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present an end-to-end joint entity and relation extraction approach based on transformer-based language models.	Nicholas Popovic; Walter Laurito; Michael Färber;	arxiv-cs.CL	2022-03-10
149	A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This study presents an engineering framework of medical entity recognition, relation extraction and attribute extraction, which are unified in annotation, modeling and evaluation.	Enwei Zhu; Qilin Sheng; Huanwan Yang; Jinpeng Li;	arxiv-cs.CL	2022-03-07
150	Consistent Representation Learning for Continual Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: However, these memory-based methods tend to overfit the memory samples and perform poorly on imbalanced datasets. To solve these challenges, a consistent representation learning method is proposed, which maintains the stability of the relation embedding by adopting contrastive learning and knowledge distillation when replaying memory.	Kang Zhao; Hua Xu; Jiangong Yang; Kai Gao;	arxiv-cs.CL	2022-03-05
151	EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these issues, a novel paradigm, Entity Pre-typing Relation Classification with Prompt Answer Centralizing(EPPAC) is proposed in this paper.	Jiejun Tan; Wenbin Hu; WeiWei Liu;	arxiv-cs.CL	2022-02-28
152	HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a hierarchical contrastive learning Framework for Distantly Supervised relation extraction (HiCLRE) to reduce noisy sentences, which integrate the global structural information and local fine-grained interaction.	Dongyang Li; Taolin Zhang; Nan Hu; Chengyu Wang; Xiaofeng He;	arxiv-cs.CL	2022-02-27
153	A Generative Model for Relation Extraction and Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel generative model for relation extraction and classification (which we call GREC), where RE is modeled as a sequence-to-sequence generation task.	Jian Ni; Gaetano Rossiello; Alfio Gliozzo; Radu Florian;	arxiv-cs.CL	2022-02-26
154	CorefDRE: Document-level Relation Extraction with Coreference Resolution Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Document-level relation extraction is to extract relation facts from a document consisting of multiple sentences, in which pronoun crossed sentences are a ubiquitous phenomenon …	Zhongxuan Xue; Rongzhen Li; Qizhu Dai; Zhong Jiang;	arxiv-cs.CL	2022-02-22
155	Automatically Generating Counterfactuals for Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we formulate the problem of automatically generating CAD for RC tasks from an entity-centric viewpoint, and develop a novel approach to derive contextual counterfactuals for entities.	Mi Zhang; Tieyun Qian; Ting Zhang;	arxiv-cs.CL	2022-02-21
156	Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by this, we propose a novel and unified cascade framework that combines the advantages of both sequential information propagation and implicit interaction.	An Wang; Ao Liu; Hieu Hanh Le; Haruo Yokota;	arxiv-cs.CL	2022-02-15
157	Unified Named Entity Recognition As Word-Word Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we present a novel alternative by modeling the unified NER as word-word relation classification, namely W^2NER.	JINGYE LI et. al.	aaai	2022-02-07
158	Selecting Optimal Context Sentences for Event-Event Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we introduce a novel method to better model document-level context with important context sentences for event-event relation extraction.	Hieu Man; Nghia Trung Ngo; Linh Ngo Van; Thien Huu Nguyen;	aaai	2022-02-07
159	Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a task-independent batch acquisition method using triplet loss to distinguish hard samples in an unlabeled data pool with similar features but difficult to identify labels.	Seungmin Seo; Donghyun Kim; Youbin Ahn; Kyong-Ho Lee;	aaai	2022-02-07
160	OneRel: Joint Entity and Relation Extraction with One Module in One Step Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, previous joint methods suffer from the problems of cascading errors and redundant information. To address these issues, in this paper, we propose a novel joint entity and relation extraction model, named OneRel, which casts joint extraction as a fine-grained triple classification problem.	Yu-Ming Shang; Heyan Huang; Xianling Mao;	aaai	2022-02-07
161	Temporal Relation Extraction with A Graph-Based Deep Biaffine Attention Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose a novel temporal information extraction model based on deep biaffine attention to extract temporal relationships between events in unstructured text efficiently and accurately.	Bo-Ying Su; Shang-Ling Hsu; Kuan-Yin Lai; Amarnath Gupta;	arxiv-cs.CL	2022-01-16
162	Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose two novel techniques, Context Guided Mention Integration and Inter-pair Reasoning (CGM2IR), to improve the DRE.	Chao Zhao; Daojian Zeng; Lu Xu; Jianhua Dai;	arxiv-cs.CL	2022-01-13
163	DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base population.	NINGYU ZHANG et. al.	arxiv-cs.CL	2022-01-10
164	Extracting Entity Synonymous Relations Via Context-Aware Permutation Invariance Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Discovering entity synonymous relations is an important work for many entity-based applications. Existing entity synonymous relation extraction approaches are mainly based on …	Nan Yan; Subin Huang; Chao Kong;	International Journal of Information Technology and Web …	2022-01-01
165	Temporal Relation Extraction in Clinical Texts Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Unstructured data in electronic health records, represented by clinical texts, are a vast source of healthcare information because they describe a patient’s journey, including …	YOHAN BONESCKI GUMIEL et. al.	ACM Computing Surveys (CSUR)	2022-01-01
166	Event Temporal Relation Extraction with Attention Mechanism and Graph Neural Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Xiaoliang Xu; Gao Tong; Wang Yuxiang; Xinle Xuan;	Tsinghua Science & Technology	2022-01-01
167	Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we instead focus on better utilizing the \textit{implicit knowledge} stored in pre-trained language models.	Zi-Yi Dou; Nanyun Peng;	arxiv-cs.CL	2022-01-01
168	Low-resource Extraction with Knowledge-aware Pairwise Prototype Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Knowledge Extraction (KE) aims at extracting structured information from raw texts, such as relation extraction and event extraction. One of the major issues for KE is the …	SHUMIN DENG et. al.	Knowl. Based Syst.	2022-01-01
169	Enhancing Structure Modeling for Relation Extraction with Fine-grained Gating and Co-attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yubo Chen; Chuhan Wu; Yongfeng Huang;	Neurocomputing	2022-01-01
170	Deep Neural Network-based Relation Extraction: An Overview Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Knowledge is a formal way of understanding the world, providing human-level cognition and intelligence for the next-generation artificial intelligence (AI). An effective way to …	Hailin Wang; Ke Qin; Rufai Yusuf Zakari; Guisong Liu; Guoming Lu;	Neural Computing and Applications	2022-01-01
171	WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel multi-phase machine reading framework, called WebKE.	Chenhao Xie; Wenhao Huang; Jiaqing Liang; Chengsong Huang; Yanghua Xiao;	cikm	2021-12-30
172	Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the use of uncertainty-aware self-training framework (UAST) to quantify the model uncertainty for coping with pseudo-labeling errors.	PENGFEI CAO et. al.	cikm	2021-12-30
173	Zero-shot Relation Classification from Side Information Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a zero-shot learning relation classification (ZSLRC) framework that improves on state-of-the-art by its ability to recognize novel relations that were not present in training data.	Jiaying Gong; Hoda Eldardiry;	cikm	2021-12-30
174	SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Given the lack of reliable ground truth data, we present SoMeSci-Software Mentions in Science-a gold standard knowledge graph of software mentions in scientific articles.	David Schindler; Felix Bensmann; Stefan Dietze; Frank Krüger;	cikm	2021-12-30
175	REFORM: Error-Aware Few-Shot Knowledge Graph Completion Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle the aforementioned issues, in this paper, we study a novel problem of error-aware few-shot KG completion and present a principled KG completion framework REFORM.	Song Wang; Xiao Huang; Chen Chen; Liang Wu; Jundong Li;	cikm	2021-12-30
176	HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel KEPLM named HORNET, which integrates Heterogeneous knowledge from various structured and unstructured sources into the Roberta NETwork and hence takes full advantage of both linguistic and factual knowledge simultaneously.	TAOLIN ZHANG et. al.	cikm	2021-12-30
177	Multi-view Interaction Learning for Few-Shot Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: So this paper proposes a novel interactive attention network (IAN) which uses inter-instance and intra-instance interactive information to classify the relations.	YI HAN et. al.	cikm	2021-12-30
178	Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To learn more discriminative and unbiased representations for FSRE, this paper proposes a two-stage approach via supervised contrastive learning and sentence- and entity-level prototypical networks.	Jiale Han; Bo Cheng; Guoshun Nan;	cikm	2021-12-30
179	Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our goal is to catch more annotation errors in the dataset while reannotating fewer instances.	Akshay Parekh; Ashish Anand; Amit Awekar;	arxiv-cs.CL	2021-12-26
180	Deeper Clinical Document Understanding Using Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper we propose a text mining framework comprising of Named Entity Recognition (NER) and Relation Extraction (RE) models, which expands on previous work in three main ways.	Hasham Ul Haq; Veysel Kocaman; David Talby;	arxiv-cs.CL	2021-12-25
181	Neural Architectures for Biological Inter-Sentence Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, biological context is defined as the type of biological system within which the biochemical event is observed.	Enrique Noriega-Atala; Peter M. Lovett; Clayton T. Morrison; Mihai Surdeanu;	arxiv-cs.CL	2021-12-16
182	Knowledge-Augmented Language Models for Cause-Effect Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we investigate the augmentation of pretrained language models with commonsense knowledge in the cause-effect relation classification and commonsense causal reasoning tasks.	Pedram Hosseini; David A. Broniatowski; Mona Diab;	arxiv-cs.CL	2021-12-15
183	Automated Tabulation of Clinical Trial Results: A Joint Entity and Relation Extraction Approach with Transformer-based Language Representations Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper investigates automating evidence table generation by decomposing the problem across two language processing tasks: \textit{named entity recognition}, which identifies key entities within text, such as drug names, and \textit{relation extraction}, which maps their relationships for separating them into ordered tuples.	Jetsun Whitton; Anthony Hunter;	arxiv-cs.CL	2021-12-10
184	An Empirical Study on Relation Extraction in The Biomedical Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Most existing models are defined for relation extraction in the general domain.	Yongkang Li;	arxiv-cs.CL	2021-12-10
185	From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose to learn not only from the consensus but also the disagreement among different models in SSRE.	Wanli Li; Tieyun Qian;	arxiv-cs.CL	2021-12-02
186	Context-Dependent Semantic Parsing for Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose SMARTER, a neural semantic parser, to extract temporal information in text effectively.	Bo-Ying Su; Shang-Ling Hsu; Kuan-Yin Lai; Jane Yung-jen Hsu;	arxiv-cs.CL	2021-12-01
187	Text Mining Drug/Chemical-Protein Interactions Using An Ensemble of BERT and T5 Based Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: For this relation extraction task, we attempt both a BERT-based sentence classification approach, and a more novel text-to-text approach using a T5 model.	Virginia Adams; Hoo-Chang Shin; Carol Anderson; Bo Liu; Anas Abidin;	arxiv-cs.CL	2021-11-30
188	Predicting Document Coverage for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new task of predicting the coverage of a text document for relation extraction (RE): does the document contain many relational tuples for a given entity?	Sneha Singhania; Simon Razniewski; Gerhard Weikum;	arxiv-cs.CL	2021-11-26
189	Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we explore methods to make better use of the multilingual annotation and language agnostic property of KG triples, and present novel knowledge based multilingual language models (KMLMs) trained directly on the knowledge triples.	LINLIN LIU et. al.	arxiv-cs.CL	2021-11-21
190	Multi-Attribute Relation Extraction (MARE) — Simplifying The Application of Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce multi-attribute relation extraction (MARE) as an assumption-less problem formulation with two approaches, facilitating an explicit mapping from business use cases to the data annotations.	Lars Klöser; Philipp Kohl; Bodo Kraft; Albert Zündorf;	arxiv-cs.CL	2021-11-17
191	Learning Logic Rules for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To tackle this challenge, in this paper, we propose LogiRE, a novel probabilistic model for document-level relation extraction by learning logic rules.	DONGYU RU et. al.	arxiv-cs.CL	2021-11-09
192	CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in The Wild Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we present the problem of cross-document RE, making an initial step towards knowledge acquisition in the wild.	YUAN YAO et. al.	emnlp	2021-11-05
193	Document-level Entity-based Extraction As Template Generation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To address this issue, we propose a generative framework for two document-level EE tasks: role-filler entity extraction (REE) and relation extraction (RE).	Kung-Hsiang Huang; Sam Tang; Nanyun Peng;	emnlp	2021-11-05
194	Towards Realistic Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper we take a deeper look at the efficacy of strong few-shot classification models in the more common relation extraction setting, and show that typical few-shot evaluation metrics obscure a wide variability in performance across relations.	Sam Brody; Sichao Wu; Adrian Benton;	emnlp	2021-11-05
195	Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a joint model for event-event temporal relation classification and an auxiliary task, relative event time prediction, which predicts the event time as real numbers.	Haoyang Wen; Heng Ji;	emnlp	2021-11-05
196	Distantly Supervised Relation Extraction Using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Multi-Layer Revision Network (MLRN) which alleviates the effects of word-level noise by emphasizing inner-sentence correlations before extracting relevant information within sentences.	Xiangyu Lin; Tianyi Liu; Weijia Jia; Zhiguo Gong;	emnlp	2021-11-05
197	Distilling Relation Embeddings from Pretrained Language Models Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To obtain relation embeddings from a pre-trained language model, we encode word pairs using a (manually or automatically generated) prompt, and we fine-tune the language model such that relationally similar word pairs yield similar output vectors.	Asahi Ushio; Jose Camacho-Collados; Steven Schockaert;	emnlp	2021-11-05
198	Relation Extraction with Word Graphs from N-grams Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this limitation, in this paper, we propose attentive graph convolutional networks (A-GCN) to improve neural RE methods with an unsupervised manner to build the context graph, without relying on the existence of a dependency parser.	Han Qin; Yuanhe Tian; Yan Song;	emnlp	2021-11-05
199	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To alleviate selection bias due to the lack of feedback loops in existing LRE learning paradigms, we developed a Gradient Imitation Reinforcement Learning method to encourage pseudo label data to imitate the gradient descent direction on labeled data and bootstrap its optimization capability through trial and error.	XUMING HU et. al.	emnlp	2021-11-05
200	Separating Retention from Extraction in The Evaluation of End-to-end Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose two experiments confirming that retention of known facts is a key factor of performance on standard benchmarks.	Bruno Taill?; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari;	emnlp	2021-11-05
201	Exploring Task Difficulty for Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we introduce a novel approach based on contrastive learning that learns better representations by exploiting relation label information.	Jiale Han; Bo Cheng; Wei Lu;	emnlp	2021-11-05
202	Large-Scale Relation Learning for Question Answering Over Knowledge Bases with Pre-trained Language Models Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To bridge the gap between the natural language and the structured KB, we propose three relation learning tasks for BERT-based KBQA, including relation extraction, relation matching, and relation reasoning.	YUANMENG YAN et. al.	emnlp	2021-11-05
203	Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work we reformulate relation extraction as an entailment task, with simple, hand-made, verbalizations of relations produced in less than 15 min per relation.	Oscar Sainz; Oier Lopez de Lacalle; Gorka Labaka; Ander Barrena; Eneko Agirre;	emnlp	2021-11-05
204	Entity Relation Extraction As Dependency Parsing in Visually Rich Documents Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we adapt the popular dependency parsing model, the biaffine parser, to this entity relation extraction task.	YUE ZHANG et. al.	emnlp	2021-11-05
205	A Relation-Oriented Clustering Method for Open Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose a relation-oriented clustering model and use it to identify the novel relations in the unlabeled data.	Jun Zhao; Tao Gui; Qi Zhang; Yaqian Zhou;	emnlp	2021-11-05
206	Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: First, it finds out possible FN samples by heuristically leveraging the memory mechanism of deep neural networks. Then, it aligns those unlabeled data with the training data into a unified feature space by adversarial training to assign pseudo labels and further utilize the information contained in them.	Kailong Hao; Botao Yu; Wei Hu;	emnlp	2021-11-05
207	A Partition Filter Network for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a partition filter network to model two-way interaction between tasks properly, where feature encoding is decomposed into two steps: partition and filter.	Zhiheng Yan; Chong Zhang; Jinlan Fu; Qi Zhang; Zhongyu Wei;	emnlp	2021-11-05
208	On The Relation Between Syntactic Divergence and Zero-Shot Performance Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We explore the link between the extent to which syntactic relations are preserved in translation and the ease of correctly constructing a parse tree in a zero-shot setting.	Ofir Arviv; Dmitry Nikolaev; Taelin Karidi; Omri Abend;	emnlp	2021-11-05
209	MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a framework considering both label-agnostic and label-aware semantic mapping information for low resource relation extraction.	Manqing Dong; Chunguang Pan; Zhipeng Luo;	emnlp	2021-11-05
210	Graph Based Network with Contextualized Representations of Turns in Dialogue Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose the TUrn COntext awaRE Graph Convolutional Network (TUCORE-GCN) modeled by paying attention to the way people understand dialogues.	Bongseok Lee; Yong Suk Choi;	emnlp	2021-11-05
211	Unsupervised Relation Extraction: A Variational Autoencoder Approach Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a VAE-based unsupervised relation extraction technique that overcomes this limitation by using the classifications as an intermediate variable instead of a latent variable.	Chenhan Yuan; Hoda Eldardiry;	emnlp	2021-11-05
212	Incorporating Medical Knowledge in BERT for Clinical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To solve these issues, in this research, we conduct a comprehensive examination of different techniques to add medical knowledge into a pre-trained BERT model for clinical relation extraction.	Arpita Roy; Shimei Pan;	emnlp	2021-11-05
213	Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we tackle the APE task by a mutual guidance framework, which could utilize the information of an argument in one passage to guide the identification of arguments that can form pairs with it in another passage.	JIANZHU BAO et. al.	emnlp	2021-11-05
214	Modular Self-Supervision for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose decomposing document-level relation extraction into relation detection and argument resolution, taking inspiration from Davidsonian semantics.	SHENG ZHANG et. al.	emnlp	2021-11-05
215	Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Therefore, in this paper, we are the first to jointly perform multi-modal ATE (MATE) and multi-modal ASC (MASC), and we propose a multi-modal joint learning approach with auxiliary cross-modal relation detection for multi-modal aspect-level sentiment analysis (MALSA).	XINCHENG JU et. al.	emnlp	2021-11-05
216	Zero-Shot Information Extraction As A Unified Text-to-Triple Translation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We cast a suite of information extraction tasks into a text-to-triple translation framework.	CHENGUANG WANG et. al.	emnlp	2021-11-05
217	Extracting Event Temporal Relations Via Hyperbolic Geometry Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce two approaches to encode events and their temporal relations in hyperbolic spaces.	Xingwei Tan; Gabriele Pergola; Yulan He;	emnlp	2021-11-05
218	Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we design a novel synchronous dual network (SDN) with cross-type attention via separately and interactively considering the entity types and relation types.	Hui Wu; Xiaodong Shi;	emnlp	2021-11-05
219	SERC: Syntactic and Semantic Sequence Based Event Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: So we propose a joint model that incorporates both temporal and causal features to perform causal relation classification.	Kritika Venkatachalam; Raghava Mutharaju; Sumit Bhatia;	arxiv-cs.CL	2021-11-03
220	Diagnosing Errors in Video Relation Detectors Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce a diagnostic tool for analyzing the sources of detection errors.	Shuo Chen; Pascal Mettes; Cees G. M. Snoek;	arxiv-cs.CV	2021-10-25
221	Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose a novel reformulation of MIL for biomedical relation extraction that abstractifies biomedical entities into their corresponding semantic types.	WILLIAM HOGAN et. al.	arxiv-cs.CL	2021-10-24
222	Entity Relation Extraction As Dependency Parsing in Visually Rich Documents Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we adapt the popular dependency parsing model, the biaffine parser, to this entity relation extraction task.	YUE ZHANG et. al.	arxiv-cs.CL	2021-10-19
223	A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In response, we present IndoRE, a dataset with 21K entity and relation tagged gold sentences in three Indian languages, plus English. We release the dataset for future research.	Arijit Nag; Bidisha Samanta; Animesh Mukherjee; Niloy Ganguly; Soumen Chakrabarti;	arxiv-cs.CL	2021-10-18
224	PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In response, we explore a simple baseline approach (PARE) in which all sentences of a bag are concatenated into a passage of sentences, and encoded jointly using BERT.	Vipul Rathore; Kartikeya Badola; Mausam; Parag Singla;	arxiv-cs.CL	2021-10-14
225	Social Fabric: Tubelet Compositions for Video Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Where existing works treat object proposals or tubelets as single entities and model their relations a posteriori, we propose to classify and detect predicates for pairs of object tubelets a priori.	Shuo Chen; Zenglin Shi; Pascal Mettes; Cees G. M. Snoek;	iccv	2021-10-08
226	FoodChem: A Food-chemical Relation Extraction Model Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present FoodChem, a new Relation Extraction (RE) model for identifying chemicals present in the composition of food entities, based on textual information provided in biomedical peer-reviewed scientific literature.	Gjorgjina Cenikj; Barbara Koroušić Seljak; Tome Eftimov;	arxiv-cs.CL	2021-10-05
227	MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Here, we present a materials-aware language model, namely, MatSciBERT, which is trained on a large corpus of scientific literature published in the materials domain.	Tanishq Gupta; Mohd Zaki; N. M. Anoop Krishnan; Mausam;	arxiv-cs.CL	2021-09-30
228	Separating Retention from Extraction in The Evaluation of End-to-end Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose several experiments confirming that retention of known facts is a key factor of performance on standard benchmarks.	Bruno Taillé; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari;	arxiv-cs.CL	2021-09-24
229	DisCoDisCo at The DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.	LUKE GESSLER et. al.	arxiv-cs.CL	2021-09-20
230	Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel model to enrich distantly-supervised sentences with entity types.	Yang Li; Guodong Long; Tao Shen; Jing Jiang;	arxiv-cs.CL	2021-09-18
231	Slot Filling for Biomedical Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work we present a slot filling approach to the task of biomedical IE, effectively replacing the need for entity and relation-specific training data, allowing us to deal with zero-shot settings.	Yannis Papanikolaou; Marlene Staib; Justin Grace; Francine Bennett;	arxiv-cs.CL	2021-09-17
232	Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we introduce SOLS, a novel model which can explicitly induce speaker-oriented latent structures for better DiaRE.	Guoshun Nan; Guoqing Luo; Sicong Leng; Yao Xiao; Wei Lu;	arxiv-cs.CL	2021-09-11
233	D-REX: Dialogue Relation Extraction with Explanations Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose our model-agnostic framework, D-REX, a policy-guided semi-supervised algorithm that explains and ranks relations.	Alon Albalak; Varun Embar; Yi-Lin Tuan; Lise Getoor; William Yang Wang;	arxiv-cs.CL	2021-09-10
234	Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work we reformulate relation extraction as an entailment task, with simple, hand-made, verbalizations of relations produced in less than 15 min per relation.	Oscar Sainz; Oier Lopez de Lacalle; Gorka Labaka; Ander Barrena; Eneko Agirre;	arxiv-cs.CL	2021-09-08
235	Semi-Automated Labeling of Requirement Datasets for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a flexible, semi-automatic framework for labeling data for relation extraction. Furthermore, we provide a dataset of preprocessed sentences from the requirements engineering domain, including a set of automatically created as well as hand-crafted labels.	Jeremias Bohn; Jannik Fischbach; Martin Schmitt; Hinrich Schütze; Andreas Vogelsang;	arxiv-cs.SE	2021-09-05
236	Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure.	Christos Theodoropoulos; James Henderson; Andrei C. Coman; Marie-Francine Moens;	arxiv-cs.CL	2021-09-02
237	Extracting All Aspect-polarity Pairs Jointly in A Text with Relation Extraction Approach Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on the perspective, we present a position- and aspect-aware sequence2sequence model for joint extraction of aspect-polarity pairs.	Lingmei Bu; Li Chen; Yongmei Lu; Zhonghua Yu;	arxiv-cs.CL	2021-09-01
238	TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: However, trigger annotations may not be always available for the target data, so it is challenging to leverage such information for enhancing the performance. Therefore, this paper proposes to learn how to identify triggers from the data with trigger annotations and then transfers the trigger-finding capability to other datasets for better performance.	Po-Wei Lin; Shang-Yu Su; Yun-Nung Chen;	arxiv-cs.CL	2021-08-31
239	Relation Extraction from Tables Using Artificially Generated Metadata Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose methods to artificially create some of this metadata for synthetic tables.	Gaurav Singh; Siffi Singh; Joshua Wong; Amir Saffari;	arxiv-cs.CL	2021-08-24
240	Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a self-ensemble filtering mechanism to filter out the noisy samples during the training process.	Tapas Nayak; Navonil Majumder; Soujanya Poria;	arxiv-cs.CL	2021-08-22
241	A Hierarchical Entity Graph Convolutional Network for Relation Extraction Across Documents Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose cross-document relation extraction, where the two entities of a relation tuple appear in two different documents that are connected via a chain of common entities. Following this idea, we create a dataset for two-hop relation extraction, where each chain contains exactly two documents.	Tapas Nayak; Hwee Tou Ng;	arxiv-cs.CL	2021-08-21
242	SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Given the lack of reliable ground truth data, we present SoMeSci (Software Mentions in Science) a gold standard knowledge graph of software mentions in scientific articles.	David Schindler; Felix Bensmann; Stefan Dietze; Frank Krüger;	arxiv-cs.IR	2021-08-20
243	Extracting Radiological Findings With Normalized Anatomical Information Using A Span-Based BERT Relation Extraction Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We explore the extraction and normalization of anatomical information in radiology reports that is associated with radiological findings.	Kevin Lybarger; Aashka Damani; Martin Gunn; Ozlem Uzuner; Meliha Yetisgen;	arxiv-cs.CL	2021-08-20
244	Video Relation Detection Via Tracklet Based Visual Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we apply the state-of-the-art video object tracklet detection pipeline MEGA and deepSORT to generate tracklet proposals.	Kaifeng Gao; Long Chen; Yifeng Huang; Jun Xiao;	arxiv-cs.CV	2021-08-19
245	RTE: A Tool for Annotating Relation Triplets from Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a Web-based annotation tool `Relation Triplets Extractor’ \footnote{https://abera87.github.io/annotate/} (RTE) for annotating relation triplets from the text.	Ankan Mullick; Animesh Bera; Tapas Nayak;	arxiv-cs.CL	2021-08-18
246	MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in The Mobility Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present MobIE, a German-language dataset, which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities.	Leonhard Hennig; Phuc Tran Truong; Aleksandra Gabryszak;	arxiv-cs.CL	2021-08-16
247	An Effective System for Multi-format Information Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Here we describe our system for this multi-format information extraction competition task.	Yaduo Liu; Longhui Zhang; Shujuan Yin; Xiaofeng Zhao; Feiliang Ren;	arxiv-cs.CL	2021-08-16
248	Consistent Inference for Dialogue Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a consistent learning and inference method to minimize possible contradictions from those distinctions.	Xinwei Long; Shuzi Niu; Yucheng Li;	ijcai	2021-08-13
249	Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Knowledge-Enhanced Few-shot RC model for the Domain Adaptation task (KEFDA), which incorporates general and domain-specific knowledge graphs (KGs) to the RC model to improve its domain adaptability.	JIAWEN ZHANG et. al.	kdd	2021-08-12
250	Cross-Network Learning with Partially Aligned Graph Convolutional Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, I propose partially aligned graph convolutional networks to learn node representations across the models.	Meng Jiang;	kdd	2021-08-12
251	Multi-Scale Feature and Metric Learning for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the above limitations, we propose a multi-scale feature and metric learning framework for relation extraction.	Mi Zhang; Tieyun Qian;	arxiv-cs.CL	2021-07-28
252	From Discourse to Narrative: Knowledge Projection for Event Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a knowledge projection paradigm for event relation extraction: projecting discourse knowledge to narratives by exploiting the commonalities between them.	JIALONG TANG et. al.	acl	2021-07-26
253	Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To fully utilize memorized samples, in this paper, we employ relation prototype to extract useful information of each relation.	LI CUI et. al.	acl	2021-07-26
254	How Knowledge Graph and Attention Help? A Qualitative Analysis Into Bag-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we contribute a dataset and propose a paradigm to quantitatively evaluate the effect of attention and KG on bag-level relation extraction (RE).	Zikun Hu; Yixin Cao; Lifu Huang; Tat-Seng Chua;	acl	2021-07-26
255	Element Intervention for Open Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we revisit the procedure of OpenRE from a causal view.	Fangchao Liu; Lingyong Yan; Hongyu Lin; Xianpei Han; Le Sun;	acl	2021-07-26
256	Revisiting The Negative Data of Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we first provide a thorough analysis of the above challenges caused by negative data. Next, we formulate the problem of relation extraction into as a positive unlabeled learning task to alleviate false negative problem.	CHENHAO XIE et. al.	acl	2021-07-26
257	How Knowledge Graph and Attention Help? A Quantitative Analysis Into Bag-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we contribute a dataset and propose a paradigm to quantitatively evaluate the effect of attention and KG on bag-level relation extraction (RE).	Zikun Hu; Yixin Cao; Lifu Huang; Tat-Seng Chua;	arxiv-cs.CL	2021-07-26
258	Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a dependency-driven approach for relation extraction with attentive graph convolutional networks (A-GCN).	Yuanhe Tian; Guimin Chen; Yan Song; Xiang Wan;	acl	2021-07-26
259	SENT: Sentence-level Distant Relation Extraction Via Negative Training Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Based on NT, we propose a sentence-level framework, SENT, for distant relation extraction.	RUOTIAN MA et. al.	acl	2021-07-26
260	Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Inspired by how humans look up relevant information to comprehend a scientific text, we present a novel framework that utilizes external knowledge for joint entity and relation extraction named KECI (Knowledge-Enhanced Collective Inference).	Tuan Lai; Heng Ji; ChengXiang Zhai; Quan Hung Tran;	acl	2021-07-26
261	Entity Concept-enhanced Few-shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To address this problem, in this paper, we proposed a novel entity CONCEPT-enhanced FEw-shot Relation Extraction scheme (ConceptFERE), which introduces the inherent concepts of entities to provide clues for relation prediction and boost the relations classification performance.	Shan Yang; Yongfei Zhang; Guanglin Niu; Qinghua Zhao; Shiliang Pu;	acl	2021-07-26
262	A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel span-based model that can recognize both overlapped and discontinuous entities jointly.	Fei Li; ZhiChao Lin; Meishan Zhang; Donghong Ji;	acl	2021-07-26
263	Verb Metaphor Detection Via Contextual Relation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we argue that it is appropriate to view this task as relation classification between a verb and its various contexts.	Wei Song; Shuhui Zhou; Ruiji Fu; Ting Liu; Lizhen Liu;	acl	2021-07-26
264	ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models Via Contrastive Learning IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To address this issue, we propose a novel contrastive learning framework ERICA to obtain a deep understanding of the entities and their relations in text.	YUJIA QIN et. al.	acl	2021-07-26
265	CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we go beyond typical MIL framework and propose a novel contrastive instance learning (CIL) framework.	TAO CHEN et. al.	acl	2021-07-26
266	Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present an embarrassingly simple but effective method to heuristically select evidence sentences for document-level RE, which can be easily combined with BiLSTM to achieve good performance on benchmark datasets, even better than fancy graph neural network based methods.	QUZHE HUANG et. al.	acl	2021-07-26
267	TIMERS: Document-level Temporal Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present TIMERS – a TIME, Rhetorical and Syntactic-aware model for document-level temporal relation classification in the English language.	PUNEET MATHUR et. al.	acl	2021-07-26
268	UniRE: A Unified Label Space for Entity Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose to eliminate the different treatment on the two sub-tasks’ label spaces.	YIJUN WANG et. al.	acl	2021-07-26
269	Entity Enhancement for Implicit Discourse Relation Classification in The Biomedical Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We here tackle the task of implicit discourse relation classification on the biomedical domain, for which the Biomedical Discourse Relation Bank (BioDRB; Prasad et al., 2011) is available.	Wei Shi; Vera Demberg;	acl	2021-07-26
270	Improving Sentence-Level Relation Extraction Through Curriculum Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a curriculum learning-based relation extraction model that splits data by difficulty and utilizes them for learning.	Seongsik Park; Harksoo Kim;	arxiv-cs.CL	2021-07-20
271	Clinical Relation Extraction Using Transformer-based Models Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: The goal of this study is to systematically explore three widely used transformer-based models (i.e., BERT, RoBERTa, and XLNet) for clinical relation extraction and develop an open-source package with clinical pre-trained transformer-based models to facilitate information extraction in the clinical domain.	Xi Yang; Zehao Yu; Yi Guo; Jiang Bian; Yonghui Wu;	arxiv-cs.CL	2021-07-19
272	What and When to Look?: Temporal Span Proposal Network for Video Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To date, two representative methods have been proposed to tackle Video Visual Relation Detection (VidVRD): segment-based and window-based. We first point out limitations of these methods and propose a novel approach named Temporal Span Proposal Network (TSPN).	Sangmin Woo; Junhyug Noh; Kangil Kim;	arxiv-cs.CV	2021-07-15
273	ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a new paradigm named retrieval-augmented distantly supervised relation extraction (ReadsRE), which can incorporate large-scale open-domain knowledge (e.g., Wikipedia) into the retrieval step.	Yue Zhang; Hongliang Fei; Ping Li;	sigir	2021-07-13
274	Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle both local and speaker dependency challenges, we explicitly construct a unified mention co-occurrence graph within a local utterance window or all utterances of a speaker from different entities.	Xinwei Long; Shuzi Niu; Yucheng Li;	sigir	2021-07-13
275	Benchmarking for Biomedical Natural Language Processing Tasks with A Domain Specific ALBERT Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present BioALBERT, a domain-specific adaptation of A Lite Bidirectional Encoder Representations from Transformers (ALBERT), trained on biomedical (PubMed and PubMed Central) and clinical (MIMIC-III) corpora and fine tuned for 6 different tasks across 20 benchmark datasets.	Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim;	arxiv-cs.CL	2021-07-09
276	Injecting Knowledge Base Information Into End-to-End Joint Entity and Relation Extraction and Coreference Resolution Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We consider a joint information extraction (IE) model, solving named entity recognition, coreference resolution and relation extraction jointly over the whole document.	Severine Verlinden; Klim Zaporojets; Johannes Deleu; Thomas Demeester; Chris Develder;	arxiv-cs.CL	2021-07-05
277	HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose a Hybrid Span Generator (HySPA) that invertibly maps the information graph to an alternating sequence of nodes and edge types, and directly generates such sequences via a hybrid span decoder which can decode both the spans and the types recurrently in linear time and space complexities.	Liliang Ren; Chenkai Sun; Heng Ji; Julia Hockenmaier;	arxiv-cs.CL	2021-06-30
278	A Simple and Efficient Probabilistic Language Model for Code-Mixed Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a simple probabilistic approach for building efficient word embedding for code-mixed text and exemplifying it over language identification of Hindi-English short test messages scrapped from Twitter.	M Zeeshan Ansari; Tanvir Ahmad; M M Sufyan Beg; Asma Ikram;	arxiv-cs.CL	2021-06-29
279	Benchmarking Knowledge-driven Zero-shot Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we proposed six resources covering three tasks, i.e., zero-shot image classification (ZS-IMGC), zero-shot relation extraction (ZS-RE), and zero-shot KG completion (ZS-KGC).	YUXIA GENG et. al.	arxiv-cs.AI	2021-06-28
280	Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we propose an effective cascade dual-decoder approach to extract overlapping relational triples, which includes a text-specific relation decoder and a relation-corresponded entity decoder.	Lianbo Ma; Huimin Ren; Xiliang Zhang;	arxiv-cs.CL	2021-06-27
281	RECON: Relation Extraction Using Knowledge Graph Context in A Graph Neural Network IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present a novel method named RECON, that automatically identifies relations in a sentence (sentential relation extraction) and aligns to a knowledge graph (KG).	ANSON BASTOS et. al.	www	2021-06-25
282	A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we present a Trigger-Sense Memory Flow Framework (TriMF) for joint entity and relation extraction.	Yongliang Shen; Xinyin Ma; Yechun Tang; Weiming Lu;	www	2021-06-25
283	SENT: Sentence-level Distant Relation Extraction Via Negative Training Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Based on NT, we propose a sentence-level framework, SENT, for distant relation extraction.	RUOTIAN MA et. al.	arxiv-cs.CL	2021-06-22
284	Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Objective: The objective of this study is to develop a deep learning pipeline to detect signals on dietary supplement-related adverse events (DS AEs) from Twitter.	Yefeng Wang; Yunpeng Zhao; Jiang Bian; Rui Zhang;	arxiv-cs.CL	2021-06-21
285	Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose collaborative adversarial training to improve the data utilization, which coordinates virtual adversarial training (VAT) and adversarial training (AT) at different levels.	TAO CHEN et. al.	arxiv-cs.CL	2021-06-20
286	Graph-based Joint Pandemic Concern and Relation Extraction on Twitter Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel end-to-end deep learning model to identify people’s concerns and the corresponding relations based on Graph Convolutional Network and Bi-directional Long Short Term Memory integrated with Concern Graph.	Jingli Shi; Weihua Li; Sira Yongchareon; Yi Yang; Quan Bai;	arxiv-cs.CL	2021-06-18
287	Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose an evidence-enhanced framework, Eider, that empowers DocRE by efficiently extracting evidence and effectively fusing the extracted evidence in inference.	Yiqing Xie; Jiaming Shen; Sha Li; Yuning Mao; Jiawei Han;	arxiv-cs.CL	2021-06-16
288	Document-level Relation Extraction As Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Herein, we propose a Document U-shaped Network for document-level relation extraction.	NINGYU ZHANG et. al.	arxiv-cs.CL	2021-06-07
289	Let’s Be Explicit About That: Distant Supervision for Implicit Discourse Relation Classification Via Connective Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the current study, we perform implicit discourse relation classification without relying on any labeled implicit relation.	Murathan Kurfalı; Robert Östling;	arxiv-cs.CL	2021-06-06
290	SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: It is usually formulated as a classification problem that predicts relations for all entity pairs in the document.	Shuang Zeng; Yuting Wu; Baobao Chang;	arxiv-cs.CL	2021-06-03
291	Discriminative Reasoning for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel discriminative reasoning framework to explicitly model the paths of these reasoning skills between each entity pair in this document.	Wang Xu; Kehai Chen; Tiejun Zhao;	arxiv-cs.CL	2021-06-02
292	End-to-End Hierarchical Relation Extraction for Generic Form Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we present a novel deep neural network to jointly perform both entity detection and link prediction in an end-to-end fashion.	Tuan-Anh Nguyen Dang; Duc-Thanh Hoang; Quang-Bach Tran; Chih-Wei Pan; Thanh-Dat Nguyen;	arxiv-cs.AI	2021-06-02
293	KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present a novel method for relation extraction (RE) from a single sentence, mapping the sentence and two given entities to a canonical fact in a knowledge graph (KG).	ABHISHEK NADGERI et. al.	arxiv-cs.CL	2021-06-01
294	PTR: Prompt Tuning with Rules for Text Classification IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we propose prompt tuning with rules (PTR) for many-class text classification and apply logic rules to construct prompts with several sub-prompts.	Xu Han; Weilin Zhao; Ning Ding; Zhiyuan Liu; Maosong Sun;	arxiv-cs.CL	2021-05-24
295	Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we introduce a constraint graph to model the dependencies between relation labels.	TIANMING LIANG et. al.	arxiv-cs.CL	2021-05-24
296	ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we formulate the zero-shot relation extraction problem by incorporating the text description of seen and unseen relations.	Chih-Yao Chen; Cheng-Te Li;	naacl	2021-05-23
297	Open Hierarchical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To establish the bidirectional connections between OpenRE and relation hierarchy, we propose the task of open hierarchical relation extraction and present a novel OHRE framework for the task.	KAI ZHANG et. al.	naacl	2021-05-23
298	Integrating Lexical Information Into Entity Neighbourhood Representations for Relation Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present an extension of OpenKi that incorporates embeddings of text-based representations of the entities and the relations.	Ian Wood; Mark Johnson; Stephen Wan;	naacl	2021-05-23
299	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we define a new task in the NLP domain, incremental few-shot text classification, where the system incrementally handles multiple rounds of new classes.	Congying Xia; Wenpeng Yin; Yihao Feng; Philip Yu;	naacl	2021-05-23
300	Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a novel deep learning model to simultaneously solve the four tasks of IE in a single model (called FourIE).	Minh Van Nguyen; Viet Lai; Thien Huu Nguyen;	naacl	2021-05-23
301	A Frustratingly Easy Approach for Entity and Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we present a simple pipelined approach for entity and relation extraction, and establish the new state-of-the-art on standard benchmarks (ACE04, ACE05 and SciERC), obtaining a 1.7%-2.8% absolute improvement in relation F1 over previous joint models with the same pre-trained encoders.	Zexuan Zhong; Danqi Chen;	naacl	2021-05-23
302	Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a multi-task, probabilistic approach to facilitate distantly supervised relation extraction by bringing closer the representations of sentences that contain the same Knowledge Base pairs.	Fenia Christopoulou; Makoto Miwa; Sophia Ananiadou;	naacl	2021-05-23
303	Global Context for Improving Recognition of Online Handwritten Mathematical Expressions Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a temporal classification method for all three subtasks of symbol segmentation, symbol recognition and relation classification in online handwritten mathematical expressions (HMEs).	Cuong Tuan Nguyen; Thanh-Nghia Truong; Hung Tuan Nguyen; Masaki Nakagawa;	arxiv-cs.CV	2021-05-21
304	KLUE: Korean Language Understanding Evaluation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We introduce Korean Language Understanding Evaluation (KLUE) benchmark.	SUNGJOON PARK et. al.	arxiv-cs.CL	2021-05-20
305	Boosting Span-based Joint Entity and Relation Extraction Via Squence Tagging Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: By stacking multiple atten-tion layers in depth, we design a deep neu-ral architecture to build STSN, and each atten-tion layer consists of three basic attention units.	Bin Ji; Shasha Li; Jie Yu; Jun Ma; Huijun Liu;	arxiv-cs.CL	2021-05-20
306	Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To evaluate DS-RE models in a more credible way, we build manually-annotated test sets for two DS-RE datasets, NYT10 and Wiki20, and thoroughly evaluate several competitive models, especially the latest pre-trained ones.	TIANYU GAO et. al.	arxiv-cs.CL	2021-05-20
307	Do Models Learn The Directionality of Relations? A New Evaluation: Relation Direction Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To explore the question, a novel evaluation task, called Relation Direction Recognition (RDR), is proposed to explore whether models learn the directionality of relations.	Shengfei Lyu; Xingyu Wu; Jinlong Li; Qiuju Chen; Huanhuan Chen;	arxiv-cs.CL	2021-05-19
308	Relation Classification with Entity Type Restriction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel paradigm, RElation Classification with ENtity Type restriction (RECENT), which exploits entity types to restrict candidate relations.	Shengfei Lyu; Huanhuan Chen;	arxiv-cs.CL	2021-05-18
309	Distantly Supervised Relation Extraction Via Recursive Hierarchy-Interactive Attention and Entity-Order Perception Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Besides, we introduce a newfangled training objective, called Entity-Order Perception (EOP), to make the sentence encoder retain more entity appearance information.	Ridong Han; Tao Peng; Jiayu Han; Hai Cui; Lu Liu;	arxiv-cs.CL	2021-05-17
310	Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Multi-granularity Heterogeneous Graph (MHG) to tackle this challenge.	H. TANG et. al.	icassp	2021-05-16
311	More: A Metric Learning Based Framework for Open-Domain Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To address these problems, in this work, we propose a novel learning framework named MORE (Metric learning-based Open Relation Extraction).	Y. Wang; R. Lou; K. Zhang; M. Y. Chen; Y. Yang;	icassp	2021-05-16
312	Multi-Entity Collaborative Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Instead of designing specific models for single relationship extraction tasks, this paper aims to propose a general framework to extract multiple relations among multiple entities in unstructured text by taking advantage of existing models.	H. Liu; Z. Li; D. Sheng; H. -T. Zheng; Y. Shen;	icassp	2021-05-16
313	GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: For this purpose, we acquire multimodal features from both textual data and layout information and build an end-to-end model through multitask training to combine word grouping and relation extraction to enhance performance on each task.	ZILONG WANG et. al.	arxiv-cs.CL	2021-05-10
314	Discourse Relation Embeddings: Representing The Relations Between Discourse Segments in Social Media Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel method for automatically creating discourse relation embeddings (DiscRE), addressing the embedding challenge through a weakly supervised, multitask approach to learn diverse and nuanced relations between discourse segments in social media.	Youngseo Son; H Andrew Schwartz;	arxiv-cs.CL	2021-05-04
315	Multi-view Inference for Relation Extraction with Uncertain Knowledge Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes to exploit uncertain knowledge to improve relation extraction.	Bo Li; Wei Ye; Canming Huang; Shikun Zhang;	arxiv-cs.CL	2021-04-28
316	Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we explore the method of employing contrastive learning to improve the text representation from the BERT model for relation extraction.	Peng Su; Yifan Peng; K. Vijay-Shanker;	arxiv-cs.CL	2021-04-28
317	Explore BiLSTM-CRF-Based Models for Open Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we develop several Open RE models based on the bidirectional LSTM-CRF (BiLSTM-CRF) neural network and different contextualized word embedding methods.	Tao Ni; Qing Wang; Gabriela Ferraro;	arxiv-cs.CL	2021-04-25
318	Enriched Attention for Robust Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we address this problem with an enriched attention mechanism.	Heike Adel; Jannik Strötgen;	arxiv-cs.CL	2021-04-22
319	Extracting Adverse Drug Events from Clinical Notes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We explore three approaches: a rule-based approach, a deep learning-based approach, and a contextualized language model-based approach.	Darshini Mahendran; Bridget T. McInnes;	arxiv-cs.CL	2021-04-21
320	Improving Biomedical Pretrained Language Models with Knowledge IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we propose KeBioLM, a biomedical pretrained language model that explicitly leverages knowledge from the UMLS knowledge bases.	Zheng Yuan; Yijia Liu; Chuanqi Tan; Songfang Huang; Fei Huang;	arxiv-cs.CL	2021-04-20
321	Extracting Temporal Event Relation with Syntax-guided Graph Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: One of the key challenges of this problem is that when the events of interest are far away in text, the context in-between often becomes complicated, making it challenging to resolve the temporal relationship between them. This paper thus proposes a new Syntax-guided Graph Transformer network (SGT) to mitigate this issue, by (1) explicitly exploiting the connection between two events based on their dependency parsing trees, and (2) automatically locating temporal cues between two events via a novel syntax-guided attention mechanism.	Shuaicheng Zhang; Lifu Huang; Qiang Ning;	arxiv-cs.CL	2021-04-19
322	Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To remedy this, we propose a novel methodology for deriving more realistic few-shot test data from available datasets for supervised RC, and apply it to the TACRED dataset.	Ofer Sabo; Yanai Elazar; Yoav Goldberg; Ido Dagan;	arxiv-cs.CL	2021-04-17
323	DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In response, we propose a new dataset, DiS-ReX, which alleviates these issues.	Abhyuday Bhartiya; Kartikeya Badola; Mausam;	arxiv-cs.CL	2021-04-17
324	Re-TACRED: Addressing Shortcomings of The TACRED Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we address these shortcomings by: (i) performing a comprehensive study over the whole TACRED dataset, (ii) proposing an improved crowdsourcing strategy and deploying it to re-annotate the whole dataset, and (iii) performing a thorough analysis to understand how correcting the TACRED annotations affects previously published results.	George Stoica; Emmanouil Antonios Platanios; Barnabás Póczos;	arxiv-cs.CL	2021-04-16
325	A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel sampling method for DSRE that relaxes these hardware requirements.	Mehrdad Nasser; Mohamad Bagher Sajadi; Behrouz Minaei-Bidgoli;	arxiv-cs.CL	2021-04-15
326	UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements As Multi-Turn Question Answering Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We approached these challenges by first identifying the quantities, extracting their units of measurement, classifying them with corresponding modifiers, and afterwards using them to jointly solve the last three subtasks in a multi-turn question answering manner.	Andrei-Marius Avram; George-Eduard Zaharia; Dumitru-Clementin Cercel; Mihai Dascalu;	arxiv-cs.CL	2021-04-09
327	A Question-answering Based Framework for Relation Extraction Validation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore the possibility of using question answering as validation.	Jiayang Cheng; Haiyun Jiang; Deqing Yang; Yanghua Xiao;	arxiv-cs.CL	2021-04-07
328	Deep Neural Networks for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Relation extraction from text is an important task for automatic knowledge base population. In this thesis, we first propose a syntax-focused multi-factor attention network model …	Tapas Nayak;	arxiv-cs.CL	2021-04-05
329	Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper presents the system for SemEval 2021 Task 8 (MeasEval).	Akash Gangwar; Sabhay Jain; Shubham Sourav; Ashutosh Modi;	arxiv-cs.CL	2021-04-03
330	Normal Vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we take the first step to leverage the salience-based method to analyze those adversarial samples.	LUOQIU LI et. al.	arxiv-cs.CL	2021-04-01
331	Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To help future research, we present a comprehensive review of the recently published research works in relation extraction.	Tapas Nayak; Navonil Majumder; Pawan Goyal; Soujanya Poria;	arxiv-cs.CL	2021-03-31
332	Multi-facet Universal Schema Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the violation of the USchema assumption, we propose multi-facet universal schema that uses a neural model to represent each sentence pattern as multiple facet embeddings and encourage one of these facet embeddings to be close to that of another sentence pattern if they co-occur with the same entity pair.	Rohan Paul; Haw-Shiuan Chang; Andrew McCallum;	arxiv-cs.CL	2021-03-29
333	Prototypical Representation Learning for Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Instead of solely relying on the supervision from noisy labels, we propose to learn prototypes for each relation from contextual information to best explore the intrinsic semantics of relations.	NING DING et. al.	arxiv-cs.CL	2021-03-22
334	Structural Block Driven – Enhanced Convolutional Neural Representation for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel lightweight relation extraction approach of structural block driven – convolutional neural learning.	Dongsheng Wang; Prayag Tiwari; Sahil Garg; Hongyin Zhu; Peter Bruza;	arxiv-cs.CL	2021-03-21
335	Leveraging Unlabeled Data for Entity-Relation Extraction Through Probabilistic Constraint Satisfaction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We study the problem of entity-relation extraction in the presence of symbolic domain knowledge.	Kareem Ahmed; Eric Wang; Guy Van den Broeck; Kai-Wei Chang;	arxiv-cs.LG	2021-03-19
336	Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a novel deep learning model to simultaneously solve the four tasks of IE in a single model (called FourIE).	Minh Van Nguyen; Viet Dac Lai; Thien Huu Nguyen;	arxiv-cs.CL	2021-03-16
337	Mention-centered Graph Neural Network for Document-level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we build cross-sentence dependencies by inferring compositional relations between inter-sentence mentions.	Jiaxin Pan; Min Peng; Yiyan Zhang;	arxiv-cs.CL	2021-03-15
338	Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we transform ASTE task into a multi-turn machine reading comprehension (MTMRC) task and propose a bidirectional MRC (BMRC) framework to address this challenge.	Shaowei Chen; Yu Wang; Jie Liu; Yuelin Wang;	arxiv-cs.CL	2021-03-13
339	A Review on Semi-Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we review and compare three typical methods in semi-supervised RE with deep learning or meta-learning: self-ensembling, which forces consistent under perturbations but may confront insufficient supervision; self-training, which iteratively generates pseudo labels and retrain itself with the enlarged labeled set; dual learning, which leverages a primal task and a dual task to give mutual feedback.	Yusen Lin;	arxiv-cs.CL	2021-03-12
340	Techniques for Jointly Extracting Entities and Relations: A Survey Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we survey various techniques for jointly extracting entities and relations.	Sachin Pawar; Pushpak Bhattacharyya; Girish K. Palshikar;	arxiv-cs.CL	2021-03-10
341	Dual Pointer Network for Fast Extraction of Multiple Relations in A Sentence Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose a relation extraction model based on a dual pointer network with a multi-head attention mechanism.	Seongsik Park; Harksoo Kim;	arxiv-cs.CL	2021-03-05
342	Better Call The Plumber: Orchestrating Dynamic Information Extraction Pipelines Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose Plumber, the first framework that brings together the research community’s disjoint IE efforts.	Mohamad Yaser Jaradeh; Kuldeep Singh; Markus Stocker; Andreas Both; Sören Auer;	arxiv-cs.CL	2021-02-22
343	REMOD: Relation Extraction for Modeling Online Discourse Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Here we develop a novel supervised learning method for relation extraction that combines graph embedding techniques with path traversal on semantic dependency graphs.	Matthew Sumpter; Giovanni Luca Ciampaglia;	arxiv-cs.SI	2021-02-22
344	Contextual Argument Component Classification for Class Discussions Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we show how two different types of contextual information, local discourse context and speaker context, can be incorporated into a computational model for classifying argument components in multi-party classroom discussions.	Luca Lugini; Diane Litman;	arxiv-cs.CL	2021-02-20
345	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we formulate such structure as distinctive dependencies between mention pairs.	Benfeng Xu; Quan Wang; Yajuan Lyu; Yong Zhu; Zhendong Mao;	arxiv-cs.CL	2021-02-19
346	WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We therefore introduce: WebRED (Web Relation Extraction Dataset), a strongly-supervised human annotated dataset for extracting relationships from a variety of text found on the World Wide Web, consisting of ~110K examples.	Robert Ormandi; Mohammad Saleh; Erin Winter; Vinay Rao;	arxiv-cs.CL	2021-02-18
347	Two Training Strategies for Improving Relation Extraction Over Universal Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: The code and datasets used in this paper are available at https://github.com/baodaiqin/UGDSRE.	Qin Dai; Naoya Inoue; Ryo Takahashi; Kentaro Inui;	arxiv-cs.CL	2021-02-12
348	An End-to-end Model for Entity-level Relation Extraction Using Multi-instance Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present a joint model for entity-level relation extraction from documents.	Markus Eberts; Adrian Ulges;	arxiv-cs.CL	2021-02-11
349	Re-TACRED: Addressing Shortcomings of The TACRED Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we address these shortcomings by: (i) performing a comprehensive study over the whole TACRED dataset, (ii) proposing an improved crowdsourcing strategy and deploying it to re-annotate the whole dataset, and (iii) performing a thorough analysis to understand how correcting the TACRED annotations affects previously published results.	George Stoica; Emmanouil Antonios Platanios; Barnabas Poczos;	aaai	2021-02-09
350	DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose the task of relation classification of interlocutors based on their dialogues.	Qi Jia; Hongru Huang; Kenny Q. Zhu;	aaai	2021-02-09
351	Making The Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we propose a Relation of Relation Learning Network (R2-Net) for sentence semantic matching.	KUN ZHANG et. al.	aaai	2021-02-09
352	GDPNet: Refining Latent Multi-View Graph for Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose to construct a latent multi-view graph to capture various possible relationships among tokens.	Fuzhao Xue; Aixin Sun; Hao Zhang; Eng Siong Chng;	aaai	2021-02-09
353	KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the Knowledge-Enriched Meta-Learning (KEML) framework to address lexical relation classification.	Chengyu Wang; Minghui Qiu; Jun Huang; Xiaofeng He;	aaai	2021-02-09
354	Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose two novel techniques, adaptive thresholding and localized context pooling, to solve the multi-label and multi-entity problems.	Wenxuan Zhou; Kevin Huang; Tengyu Ma; Jing Huang;	aaai	2021-02-09
355	FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by the success of BERT, we propose a strong BERT based baseline to extract social relation from text only.	HAI WAN et. al.	aaai	2021-02-09
356	Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To achieve this objective, in this paper we design a multitask learning architecture based on the observation that correlations exist between outputs of some related tasks (e.g. entity recognition and relation extraction tasks), and they reflect the relevant features that need to be extracted from the input.	Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu;	aaai	2021-02-09
357	Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel method, Clinical Temporal ReLation Exaction with Probabilistic Soft Logic Regularization and Global Inference (CTRL-PG) to tackle the problem at the document level.	YICHAO ZHOU et. al.	aaai	2021-02-09
358	Curriculum-Meta Learning for Order-Robust Continual Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a novel curriculum-meta learning method to tackle the above two challenges in continual relation extraction.	TONGTONG WU et. al.	aaai	2021-02-09
359	Visual Relation Detection Using Hybrid Analogical Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces a new hybrid system for visual relation detection combining deep-learning models and analogical generalization.	Kezhen Chen; Ken Forbus;	aaai	2021-02-09
360	Bootstrapping Relation Extractors Using Syntactic Search By Examples Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work we propose a process for bootstrapping training datasets which can be performed quickly by non-NLP-experts.	Matan Eyal; Asaf Amrami; Hillel Taub-Tabib; Yoav Goldberg;	arxiv-cs.CL	2021-02-09
361	Document-Level Relation Extraction with Reconstruction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To alleviate this issue, we propose a novel encoder-classifier-reconstructor model for DocRE.	Wang Xu; Kehai Chen; Tiejun Zhao;	aaai	2021-02-09
362	An Improved Baseline for Sentence-level Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we revisit two problems that affect the performance of existing RE models, namely entity representation and noisy or ill-defined labels.	Wenxuan Zhou; Muhao Chen;	arxiv-cs.CL	2021-02-02
363	Neural Data Augmentation Via Example Extrapolation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a data augmentation approach that performs neural Example Extrapolation (Ex2).	Kenton Lee; Kelvin Guu; Luheng He; Tim Dozat; Hyung Won Chung;	arxiv-cs.CL	2021-02-02
364	Is Depression Related to Cannabis?: A Knowledge-infused Model for Entity and Relation Extraction with Limited Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we explore the relationship between depression and consumption of cannabis in a targeted social media corpus involving personal use of cannabis with the intent to derive its potential mental health benefit.	Kaushik Roy; Usha Lokala; Vedant Khandelwal; Amit Sheth;	arxiv-cs.CL	2021-02-01
365	Improving Distantly-Supervised Relation Extraction Through BERT-based Label & Instance Embeddings Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose REDSandT (Relation Extraction with Distant Supervision and Transformers), a novel distantly-supervised transformer-based RE method, that manages to capture a wider set of relations through highly informative instance and label embeddings for RE, by exploiting BERT’s pre-trained model, and the relationship between labels and entities, respectively.	Despina Christou; Grigorios Tsoumakas;	arxiv-cs.CL	2021-02-01
366	LOME: Large Ontology Multilingual Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present LOME, a system for performing multilingual information extraction.	PATRICK XIA et. al.	arxiv-cs.CL	2021-01-28
367	Laughing at You Or with You: The Role of Sarcasm in Shaping The Disagreement Space Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To further our understanding of the role of sarcasm in shaping the disagreement space, we present a thorough experimental setup using a corpus annotated with both argumentative moves (agree/disagree) and sarcasm.	Debanjan Ghosh; Ritvik Shrivastava; Smaranda Muresan;	arxiv-cs.CL	2021-01-26
368	Process-Level Representation of Scientific Protocols with Interactive Annotation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We develop Process Execution Graphs (PEG), a document-level representation of real-world wet lab biochemistry protocols, addressing challenges such as cross-sentence relations, long-range coreference, grounding, and implicit arguments.	Ronen Tamari; Fan Bai; Alan Ritter; Gabriel Stanovsky;	arxiv-cs.CL	2021-01-25
369	Video Relation Detection with Trajectory-aware Multi-modal Features Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present video relation detection with trajectory-aware multi-modal features to solve this task.	Wentao Xie; Guanghui Ren; Si Liu;	arxiv-cs.CV	2021-01-20
370	HIVE-4-MAT: Advancing The Ontology Infrastructure for Materials Science Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Introduces HIVE-4-MAT – Helping Interdisciplinary Vocabulary Engineering for Materials Science, an automatic linked data ontology application. Covers contextual background for …	Jane Greenberg; Xintong Zhao; Joseph Adair; Joan Boone; Xiaohua Tony Hu;	arxiv-cs.DL	2021-01-19
371	A Survey on Extraction of Causal Relations from Natural Language Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we conduct a comprehensive survey of causality extraction.	Jie Yang; Soyeon Caren Han; Josiah Poon;	arxiv-cs.IR	2021-01-16
372	Structured Prediction As Translation Between Augmented Natural Languages IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resolution, and dialogue state tracking.	GIOVANNI PAOLINI et. al.	arxiv-cs.LG	2021-01-14
373	EventPlus: A Temporal Event Understanding Pipeline Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present EventPlus, a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction.	MINGYU DEREK MA et. al.	arxiv-cs.CL	2021-01-13
374	BERT-GT: Cross-sentence N-ary Relation Extraction with BERT and Graph Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel architecture that combines Bidirectional Encoder Representations from Transformers with Graph Transformer (BERT-GT), through integrating a neighbor-attention mechanism into the BERT architecture.	Po-Ting Lai; Zhiyong Lu;	arxiv-cs.CL	2021-01-11
375	Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To make full use of the existing information and get a better feature representation for each instance, we propose to encode each class prototype in an adaptive way from two aspects.	Yan Xiao; Yaochu Jin; Kuangrong Hao;	arxiv-cs.CL	2021-01-10
376	Learning Better Sentence Representation with Syntax Information Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel approach to combining syntax information with a pre-trained language model.	Chen Yang;	arxiv-cs.CL	2021-01-09
377	Deep Neural Network Based Relation Extraction: An Overview Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This article 1) introduces some general concepts, and further 2) gives a comprehensive overview of DNNs in RE from two points of view: supervised RE, which attempts to improve the standard RE systems, and distant supervision RE, which adopts DNNs to design sentence encoder and de-noise method.	Hailin Wang; Ke Qin; Rufai Yusuf Zakari; Guoming Lu; Jin Yin;	arxiv-cs.CL	2021-01-06
378	Curriculum-Meta Learning for Order-Robust Continual Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a novel curriculum-meta learning method to tackle the above two challenges in continual relation extraction.	TONGTONG WU et. al.	arxiv-cs.CL	2021-01-06
379	Hybrid Deep Learning Model for Automating Constraint Modelling in Advanced Working Packaging Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Management of constraints (e.g. materials and labour) is a major challenge in construction projects. Advanced working packaging (AWP) is an effective constraint-management method. …	CHENGKE WU et. al.	Automation in Construction	2021-01-01
380	Chinese Triple Extraction Based on BERT Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Information extraction (IE) plays a crucial role in natural language processing, which extracts structured facts like entities, attributes, relations and events from unstructured …	Weidong Deng; Yun Liu;	2021 15th International Conference on Ubiquitous …	2021-01-01
381	Selection Gate-based Networks for Semantic Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Semantic relatedness between context information and entities, which is one of the most easily accessible features, has been proven to be very useful for detecting the semantic …	XIAJIONG SHEN et. al.	International Journal of Embedded Systems	2021-01-01
382	Multi-granularity Semantic Representation Model for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: In natural language, a group of words constitute a phrase and several phrases constitute a sentence. However, existing transformer-based models for sentence-level tasks abstract …	Ming Lei; Heyan Huang; Chong Feng;	Neural Comput. Appl.	2021-01-01
383	Enhanced Prototypical Network for Few-shot Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Most existing methods for relation extraction tasks depend heavily on large-scale annotated data; they cannot learn from existing knowledge and have low generalization ability. It …	Wen Wen; Yongbin Liu; Chunping Ouyang; Qiang Lin; Tong Lee Chung;	Inf. Process. Manag.	2021-01-01
384	Adverse Drug Reaction Extraction on Electronic Health Records Written in Spanish: A PhD Thesis Overview Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The aim of this work is the automatic extraction of Adverse Drug Reactions (ADRs) in Electronic Health Records (EHRs) written in Spanish. From Natural Language Processing (NLP) …	Sara Santiso;	IberSPEECH 2021	2021-01-01
385	BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Valuable and relevant information that relates human proteins with their phenotypes in biomedical literature stays hidden from biomedical scientists due to the rapid rise in …	Francis Anokye; Indika Kahanda;	2021 IEEE 34th International Symposium on Computer-Based …	2021-01-01
386	Improving Distant Supervised Relation Extraction with Noise Detection Strategy Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervised relation extraction (DSRE) is widely used to extract novel relational facts from plain text, so as to improve the knowledge graph. However, distant supervision …	XIAOYAN MENG et. al.	Applied Sciences	2021-01-01
387	CyberRel: Joint Entity and Relation Extraction for Cybersecurity Concepts Literature Review Related Patents Related Grants Related Orgs Related Experts Details	YONGYAN GUO et. al.		2021-01-01
388	Multimodal Relation Extraction with Efficient Graph Alignment Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction (RE) is a fundamental process in constructing knowledge graphs. However, previous methods on relation extraction suffer sharp performance decline in short and …	CHANGMENG ZHENG et. al.	Proceedings of the 29th ACM International Conference on …	2021-01-01
389	Macro Discourse Relation Recogniztion Based on Micro Discourse Structure and Self-Interactive Attention Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Macro discourse relation recognition is an important task of macro discourse analysis. The existing models ignore the micro discourse structure within paragraphs and could not …	Yaxin Fan; Feng Jiang; Peifeng Li; Qiaoming Zhu;	2021 International Joint Conference on Neural Networks …	2021-01-01
390	Distilling The Documents for Relation Extraction By Topic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Minghui Wang; Ping Xue; Ying Li; Zhonghai Wu;		2021-01-01
391	Targeted BERT Pre-training and Fine-Tuning Approach for Entity Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Entity relation extraction (ERE) is an important task in the field of information extraction. With the wide application of pre-training language model (PLM) in natural language …	Chao Li; Zhao Qiu;	Communications in Computer and Information Science	2021-01-01
392	Gated Convolutional Neural Networks with Sentence-Related Selection for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yufeng Chen; Siqi Li; Xingya Li; Jinan Xu; Jian Liu;	IEICE Transactions on Information and Systems	2021-01-01
393	CovRelex: A COVID-19 Retrieval System with Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers. This work aims at …	VU TRAN et. al.		2021-01-01
394	Joint Extraction of Entities and Overlapping Relations Using Source-target Entity Labeling Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Joint extraction of entities and overlapping relations has attracted considerable attention in recent research. Existing relation extraction methods rely on a training set that is …	Tingting Hang; Jun Feng; Yirui Wu; Le Yan; Yunfeng Wang;	Expert Syst. Appl.	2021-01-01
395	DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Bernhard Schäfer; Heiner Stuckenschmidt;		2021-01-01
396	Exploring Sentence Embedding Structures for Semantic Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Sentence embeddings encode natural language sentences as low-dimensional, dense vectors and have improved NLP tasks, including relation extraction, which aims at identifying …	Alexander Kalinowski; Yuan An;	2021 International Joint Conference on Neural Networks …	2021-01-01
397	Cost-Effective Memory Replay for Continual Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yunong Chen; Yanlong Wen; Haiwei Zhang;		2021-01-01
398	Distant Supervised Relation Extraction with Position Feature Attention and Selective Bag Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision greatly reduces manual consumption by automatically labeling data. The relation extraction methods under distant supervision divide sentences with the same …	Jiasheng Wang; Qiongxin Liu;	Neurocomputing	2021-01-01
399	Clustering-Augmented Multi-instance Learning for Neural Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Qi Zhang; Siliang Tang; Jinquan Sun; Yu Wang; Lei Zhang;		2021-01-01
400	MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Document-level relation extraction aims to detect the relations within one document, which is challenging since it requires complex reasoning using mentions, entities, local and …	JINGYE LI et. al.		2021-01-01
401	A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The task to extract relations tries to identify relationships between two named entities in a sentence. Because a sentence usually contains several named entities, capturing …	Jinling Xu; Yanping Chen; Yongbin Qin; Ruizhang Huang; Qinghua Zheng;	Symmetry	2021-01-01
402	Improving Sentence-Level Relation Classification Via Machine Reading Comprehension and Reinforcement Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Bo Xu; Zhengqi Zhang; Xiangsan Zhao; Hui Song; Ming Du;		2021-01-01
403	Dependency Parsing-based Entity Relation Extraction Over Chinese Complex Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Open Relation Extraction (ORE) plays a significant role in the field of Information Extraction. It breaks the limitation that traditional relation extraction must pre-define …	Shanshan Qi; Limin Zheng; Feiyu Shang;		2021-01-01
404	Weighted Graph Convolution Over Dependency Trees for Nontaxonomic Relation Extraction on Public Opinion Information Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Currently, with the continuous development of relation extraction tasks, we notice that the ability to extract nontaxonomic relations has improved frustratingly slowly, and the …	Guangyao Wang; Shengquan Liu; Fuyuan Wei;	Applied Intelligence	2021-01-01
405	Towards Learning Terminological Concept Systems from Multilingual Natural Language Text Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Terminological Concept Systems (TCS) provide a means of organizing, structuring and representing domain-specific multilingual information and are important to ensure …	Lennart Wachowiak; Christian Lang; Barbara Heinisch; Dagmar Gromann;		2021-01-01
406	Dynamic Graph Transformer for Implicit Tag Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Textual information extraction is a typical research topic in the NLP community. Several NLP tasks such as named entity recognition and relation extraction between entities have …	Yi-Ting Liou; Chung-Chi Chen; Hen-Hsen Huang; Hsin-Hsi Chen;		2021-01-01
407	End-to-End Argument Mining As Biaffine Dependency Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Non-neural approaches to argument mining (AM) are often pipelined and require heavy feature-engineering. In this paper, we propose a neural end-to-end approach to AM which is …	Yuxiao Ye; Simone Teufel;		2021-01-01
408	Traditional Chinese Medicine Entity Relation Extraction Based on CNN with Segment Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Extracting medical entity relations from Traditional Chinese Medicine (TCM) related article is crucial to connect domain knowledge between TCM with modern medicine. Herb accounts …	Tian Bai; Haotian Guan; Shang Wang; Ye Wang; Lan Huang;	Neural Computing and Applications	2021-01-01
409	Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: AbstractTraffic flow estimation (TFE) plays an important role in transportation systems, especially in relation to the detection, planning, and management of traffic for …	Enjian Yao; Xiaowen Wang; Yang Yang; Long Pan; Yuanyuan Song;		2021-01-01
410	WRTRe: Weighted Relative Position Transformer for Joint Entity and Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Entity and relation extraction is a critical task of information extraction in natural language processing. With fast developments of deep learning, this area has attracted great …	Wei Zheng; Zhen Wang; Quanming Yao; Xuelong Li;	Neurocomputing	2021-01-01
411	Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature Via Language Representation Models Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Understanding of nerve-organ interactions is crucial to facilitate the development of effective bioelectronic treatments. Towards the end of developing a systematized and …	Ibrahim Burak Ozyurt; Joseph Menke; Anita Bandrowski; Maryann Martone;	Proceedings of the Second Workshop on Scholarly Document …	2021-01-01
412	Graph-based Reasoning Model for Multiple Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Linguistic knowledge is useful for various NLP tasks, but the difficulty lies in the representation and application. We consider that linguistic knowledge is implied in a …	Heyan Huang; Ming Lei; Chong Feng;	Neurocomputing	2021-01-01
413	Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The use of administrative documents to communicate and leave record of business information requires of methods able to automatically extract and understand the content from such …	Manuel Carbonell; Pau Riba; Mauricio Villegas; Alicia Fornés; Josep Lladós;	2020 25th International Conference on Pattern Recognition …	2021-01-01
414	Classifier-adaptation Knowledge Distillation Framework for Relation Extraction and Event Detection with Imbalanced Data Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Fundamental information extraction tasks, such as relation extraction and event detection, suffer from a data imbalance problem. To alleviate this problem, existing methods rely …	Dandan Song; Jing Xu; Jinhui Pang; Heyan Huang;	Inf. Sci.	2021-01-01
415	DKG-PIPD: A Novel Method About Building Deep Knowledge Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: In this study, a novel method about building Deep Knowledge Graph for the Plant Insect Pest and Disease, namely DKG-PIPD, was proposed. Specifically, the semi-automatic extraction …	Yingying Liu;	IEEE Access	2021-01-01
416	Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Xiuyue Zeng; Jiang Zhong; Chen Wang; Cong Hu;		2021-01-01
417	Biomedical Cross-sentence Relation Extraction Via Multihead Attention and Graph Convolutional Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Most biomedical information extraction efforts are focused on binary relations, there is a strong need to extract drug–gene–mutation n-ary relations among cross-sentences. In …	DI ZHAO et. al.	Appl. Soft Comput.	2021-01-01
418	Pattern-based Bootstrapping Framework for Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The progress made in the realm of ‘-omics’ technologies has led to a tremendous increase in the quantum of biomedical research published. Information extraction from this huge …	S. S. Deepika; T. V. Geetha;	Eng. Appl. Artif. Intell.	2021-01-01
419	NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision can generate large-scale relation classification data quickly and economically. However, a great number of noise sentences are introduced which can not express …	Tielin Shen; Daling Wang; Shi Feng; Yifei Zhang;		2021-01-01
420	Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: A great number of radiologic reports are created each year which incorporate the expertise of radiologists. This knowledge could be exploited via machine understanding. This could …	András Kicsi; Klaudia Szabó Ledenyi; Péter Pusztai; László Vidács;	2021 IEEE/ACM 3rd International Workshop on Software …	2021-01-01
421	Syntax-Informed Self-Attention Network for Span-Based Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Current state-of-the-art joint entity and relation extraction framework is based on span-level entity classification and relation identification between pairs of entity mentions. …	Haiyang Zhang; Guanqun Zhang; Ricardo Ma;	Applied Sciences	2021-01-01
422	Neural Sequential Transfer Learning for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Christoph Alt;		2021-01-01
423	Document-level Relation Extraction with Entity-Selection Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Document-level relation extraction is a complex natural language processing task that predicts relations of entity pairs by capturing the critical semantic features on entity …	Changsen Yuan; Heyan Huang; Chong Feng; Ge Shi; Xiaochi Wei;	Inf. Sci.	2021-01-01
424	KB-QA Based on Multi-task Learning and Negative Sample Generation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP. One popular approach to solve the KB-QA problem is to use a pipeline of several …	Liao Cheng; Feiyang Xie; Jiangtao Ren;	Inf. Sci.	2021-01-01
425	MRE: A Military Relation Extraction Model Based on BiGRU and Multi-Head Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: A great deal of operational information exists in the form of text. Therefore, extracting operational information from unstructured military text is of great significance for …	YIWEI LU et. al.	Symmetry	2021-01-01
426	Open Relation Extraction for Chinese Noun Phrases Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation Extraction (RE) aims at harvesting relational facts from texts. A majority of existing research targets at knowledge acquisition from sentences, where subject-verb-object …	Chengyu Wang; Xiaofeng He; Aoying Zhou;	IEEE Transactions on Knowledge and Data Engineering	2021-01-01
427	A General Framework for First Story Detection Utilizing Entities and Their Relations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: News portals, such as Yahoo News or Google News, collect large amounts of news articles from a variety of sources on a daily basis. Only a small portion of these documents can be …	Nikolaos Panagiotou; Cem Akkaya; Kostas Tsioutsiouliklis; Vana Kalogeraki; Dimitrios Gunopulos;	IEEE Transactions on Knowledge and Data Engineering	2021-01-01
428	Entity-Centric Fully Connected GCN for Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation classification is an important task in the field of natural language processing, and it is one of the important steps in constructing a knowledge graph, which can greatly …	JUN LONG et. al.	Applied Sciences	2021-01-01
429	Merging Web Tables for Relation Extraction with Knowledge Graphs IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Jhomara Luzuriaga; Emir Munoz; Henry Rosales-Mendez; Aidan Hogan;	IEEE Transactions on Knowledge and Data Engineering	2021-01-01
430	CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper presents our wining contribution to SemEval 2021 Task 8: MeasEval. The purpose of this task is identifying the counts and measurements from clinical scientific …	JIARUN CAO et. al.		2021-01-01
431	Enity Relation Extraction of Industrial Robot PHM Based on BiLSTM-CRF and Multi-head Selection Literature Review Related Patents Related Grants Related Orgs Related Experts Details	SONGHAI LIN et. al.		2021-01-01
432	Drug Disease Relation Extraction from Biomedical Literature Using NLP and Machine Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Extracting the relations between medical concepts is very valuable in the medical domain. Scientists need to extract relevant information and semantic relations between medical …	Wahiba Ben Abdessalem Karaa; Eman H. Alkhammash; Aida Bchir;	Mob. Inf. Syst.	2021-01-01
433	A Joint Model for Entity and Relation Extraction Based on BERT IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: In recent years, as the knowledge graph has attained significant achievements in many specific fields, which has become one of the core driving forces for the development of the …	BO QIAO et. al.	Neural Computing and Applications	2021-01-01
434	Learning Relatedness Between Types with Prototypes for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Relation schemas are often pre-defined for each relation dataset. Relation types can be related from different datasets and have overlapping semantics. We hypothesize we can …	Lisheng Fu; Ralph Grishman;		2021-01-01
435	Improving Relation Extraction Via Joint Coding Using BiLSTM and DCNN Literature Review Related Patents Related Grants Related Orgs Related Experts Details	KAIXU WANG et. al.		2021-01-01
436	Dependency Tree Positional Encoding Method for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Dependency trees are recently used for relation extraction tasks to capture long-range relations among entities. Many studies have proposed various methods to apply dependency …	Chunghyeon Cho; Yong Suk Choi;	Proceedings of the 36th Annual ACM Symposium on Applied …	2021-01-01
437	Relation Extraction Model Based on Keywords Attention (S) Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yu Chen;	Proceedings of the 33rd International Conference on …	2021-01-01
438	FSSRE: Fusing Semantic Feature and Syntactic Dependencies Feature for Threat Intelligence Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Xuren Wang;	Proceedings of the 33rd International Conference on …	2021-01-01
439	Multi Spatial Relation Detection in Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Brandon Birmingham; Adrian Muscat;	Spatial Cognition & Computation	2021-01-01
440	Interpretability Rules: Jointly Bootstrapping A Neural Relation Extractorwith An Explanation Decoder Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: We introduce a method that transforms a rule-based relation extraction (RE) classifier into a neural one such that both interpretability and performance are achieved. Our approach …	Zheng Tang; Mihai Surdeanu;		2021-01-01
441	Relation Extraction with Synthetic Explanations and Neural Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The state-of-the-art for Relation Extraction, defined as the detection of existing relations between a pair of entities in a sentence, relies on neural networks that require a …	Rozan Chahardoli; Denilson Barbosa; Davood Rafiei;	2021 International Symposium on Electrical, Electronics and …	2021-01-01
442	Knowledge Graph Question Answering Based on TE-BiLTM and Knowledge Graph Embedding Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Abstract: Knowledge graph question answering (KGQA) aims to use facts in the knowledge graph to answer natural language questions. Relation extraction, as one of the sub-tasks of …	JIANBIN LI et. al.	2021 the 5th International Conference on Innovation in …	2021-01-01
443	Relation Extraction Method Based on Two-Way Attentions of Syntactic Knowledge Literature Review Related Patents Related Grants Related Orgs Related Experts Details	XUEKAI ZHANG et. al.	Advances in Intelligent Automation and Soft Computing	2021-01-01
444	Piecewise Convolutional Neural Networks with Position Attention and Similar Bag Attention for Distant Supervision Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Weijiang Li; Qing Wang; Jiekun Wu; Zhengtao Yu;	Applied Intelligence	2021-01-01
445	Multi-Stream Semantics-Guided Dynamic Aggregation Graph Convolution Networks to Extract Overlapping Relations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The existing relation extraction approaches select the relevant partial dependency structures and exhibit the limitation associated with long-distance dependencies. Moreover, due …	Xiushan Liu; Jun Cheng; Qin Zhang;	IEEE Access	2021-01-01
446	Predicting Informativeness of Semantic Triples Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Many automatic semantic relation extraction tools extract subject-predicate-object triples from unstructured text. However, a large quantity of these triples merely represent …	Judita Preiss;		2021-01-01
447	Multilingual Entity and Relation Extraction Dataset and Model Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: We present a novel dataset and model for a multilingual setting to approach the task of Joint Entity and Relation Extraction. The SMiLER dataset consists of 1.1 M annotated …	Alessandro Seganti; Klaudia Firląg; Helena Skowrońska; Michał Satława; Piotr Andruszkiewicz;		2021-01-01
448	Named Entity Recognition and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: With the advent of Web 2.0, there exist many online platforms that result in massive textual-data production. With ever-increasing textual data at hand, it is of immense …	Zara Nasar; S. Waqar Jaffry; Muhammad Kamran Malik;	ACM Computing Surveys (CSUR)	2021-01-01
449	Full-Abstract Biomedical Relation Extraction with Keyword-Attentive Domain Knowledge Infusion Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction (RE) is an essential task in natural language processing. Given a context, RE aims to classify an entity-mention pair into a set of pre-defined relations. In …	Xian Zhu; Lele Zhang; Jiangnan Du; Zhifeng Xiao;	Applied Sciences	2021-01-01
450	Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distantly-supervised relation extraction (RE) is an effective method to scale RE to large corpora but suffers from noisy labels. Existing approaches try to alleviate noise through …	Despina Christou; Grigorios Tsoumakas;	IEEE Access	2021-01-01
451	A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision is an efficient approach to generate labeled data automatically for relation extraction and it is by nature a multi-instance multi-label learning issue. …	Mingjie Tang; Bo Yang; Hao Xu;	2021 IEEE 6th International Conference on Computer and …	2021-01-01
452	Exploit A Multi-head Reference Graph for Semi-supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Manual annotation of labeled data for relation extraction is time-consuming and labor-intensive. Semi-supervised methods can offer helping hands for this problem and have aroused …	WANLI LI et. al.	2021 International Joint Conference on Neural Networks …	2021-01-01
453	Constructing Knowledge Graphs for Online Collaborative Programming Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: This study aimed to automatically construct knowledge graphs for online collaborative programming. We proposed several models and developed a system to construct knowledge graphs …	Yuanyi Zhen; Lanqin Zheng; Penghe Chen;	IEEE Access	2021-01-01
454	BiLSTM Embedding Pretraining for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Many recent relation extraction methods are proposed based on distantly supervised learning to address the issue of expensive human labelling. They automatically align relation …	Haojie Huang; Raymond K. Wong;	2021 International Joint Conference on Neural Networks …	2021-01-01
455	Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yuchen Luo; Zhenjie Huang; Kai Zheng; Tianyong Hao;	Neural Computing for Advanced Applications	2021-01-01
456	Multi-granularity Sequential Neural Network for Document-level Biomedical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Xiaofeng Liu; Kaiwen Tan; Shoubin Dong;	Inf. Process. Manag.	2021-01-01
457	Near-Perfect Relation Extraction from Family Books Literature Review Related Patents Related Grants Related Orgs Related Experts Details	George Nagy;		2021-01-01
458	Conflict Resolution Using Relation Classification: High-level Data Fusion in Data Integration Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The aim of conflict resolution in data integration systems is to identify the true values from among different and conflicting claims about a single entity provided by different …	Zeinab Nakhaei; Ali Ahmadi; Arash Sharifi; Kambiz Badie;	Comput. Sci. Inf. Syst.	2021-01-01
459	Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Kaijian Liu; Nora El-Gohary;	Journal of Computing in Civil Engineering	2021-01-01
460	3-D Relation Network for Visual Relation Recognition in Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video visual relation recognition aims at mining the dynamic relation instances between objects in the form of 〈 subject , predicate , object 〉 , such as “person1-towards-person2” …	Qianwen Cao; Heyan Huang; Xindi Shang; Boran Wang; Tat-Seng Chua;	Neurocomputing	2021-01-01
461	Illation of Video Visual Relation Detection Based on Graph Neural Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Visual relation detection task is the bridge between semantic text and image information, and it can better express the content of images or video through the relation triple . …	Mingcheng Qu; Jianxun Cui; Yuxi Nie; Tonghua Su;	IEEE Access	2021-01-01
462	EntityBERT: Entity-centric Masking Strategy for Model Pretraining for The Clinical Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Transformer-based neural language models have led to breakthroughs for a variety of natural language processing (NLP) tasks. However, most models are pretrained on general domain …	Chen Lin; Timothy Miller; Dmitriy Dligach; Steven Bethard; Guergana Savova;		2021-01-01
463	Visual Relationship Detection with Region Topology Structure Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Visual relationship detection is crucial for scene understanding of images, which aims to detect objects in the image and classify the visual relation for each pair of objects. In …	Le Zhang; Ying Wang; HaiShun Chen; Jie Li; ZhenXi Zhang;	Inf. Sci.	2021-01-01
464	Multilevel Entity-Informed Business Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Hadjer Khaldi; Farah Benamara; Amine Abdaoui; Nathalie Aussenac-Gilles; EunBee Kang;		2021-01-01
465	KGGCN: Knowledge-Guided Graph Convolutional Networks for Distantly Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distantly supervised relation extraction is the most popular technique for identifying semantic relation between two entities. Most prior models only focus on the supervision …	Ningyi Mao; Wenti Huang; Hai Zhong;	Applied Sciences	2021-01-01
466	Attention Guided Relation Detection Approach for Video Visual Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Qianwen Cao; Heyan Huang;	IEEE Transactions on Multimedia	2021-01-01
467	Joint Entity and Relation Extraction for Long Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Dong Cheng; Hui Song; Xianglong He; Bo Xu;		2021-01-01
468	Chinese Relation Extraction Using Extend Softword Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: In recent years, many scholars have chosen to use word lexicons to incorporate word information into a model based on character input to improve the performance of Chinese …	Bo Kong; Shengquan Liu; Fuyuan Wei; Liruizhi Jia; Guangyao Wang;	IEEE Access	2021-01-01
469	Improving Relation Extraction Beyond Sentence Boundaries Using Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Reation Extraction(RE) is the subprocess of Information Extraction(IE) which focuses on determining and extracting the reation between two participating entities. Most of the past …	C. A. Deepa; P. C. Reghu Raj; Ajeesh Ramanujan;		2021-01-01
470	Reinforced Natural Language Inference for Distantly Supervised Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Bo Xu; Xiangsan Zhao; Chaofeng Sha; Minjun Zhang; Hui Song;		2021-01-01
471	Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	TIANCHI YANG et. al.		2021-01-01
472	Incorporating Syntactic Information Into Relation Representations for Enhanced Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Li Cui; Deqing Yang; Jiayang Cheng; Yanghua Xiao;		2021-01-01
473	SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	SHUANGJI YANG et. al.		2021-01-01
474	A Method of Relation Extraction: Integrating Graph Convolutional Networks, Relative Entity Position Attention and Back-Multi-Head-Attention Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction is the task of identifying entity pairs and relationship between entity pairs. Moreover, it is a key method for knowledge discovery. It has been proven …	Ci Liu; Xuetong Zhao; Yawei Zhao;	2021 International Joint Conference on Neural Networks …	2021-01-01
475	Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: There is an incredible amount of information available in the form of textual documents due to the growth of information sources. In order to get the information into an …	Sihem Sahnoun; Gaël Lejeune;		2021-01-01
476	A Graph Convolutional Network With Multiple Dependency Representations for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Dependency analysis can assist neural networks to capture semantic features within a sentence for entity relation extraction (RE). Both hard and soft strategies of encoding …	YANFENG HU et. al.	IEEE Access	2021-01-01
477	TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering Over Knowledge Graphs Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Jianbin Li; Ketong Qu; Jingchen Yan; Liting Zhou; Long Cheng;		2021-01-01
478	LAPREL: A Label-Aware Parallel Network for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction is a crucial task in natural language processing (NLP) that aims to extract all relational triples from a given sentence. Extracting overlapping relational …	Xiang Li; Junan Yang; Pengjiang Hu; Hui Liu;	Symmetry	2021-01-01
479	Open Relation Extraction in Patent Claims with A Hybrid Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Research on relation extraction from patent documents, a high-priority topic of natural language process in recent years, is of great significance to a series of patent downstream …	Boting Geng;	Wirel. Commun. Mob. Comput.	2021-01-01
480	Adversarial Learning with Domain-Adaptive Pretraining for Few-Shot Relation Classification Across Domains Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The existing methods for domain-adaptive few-shot relation classification based on word embeddings or pretraining models trained on massive corpora, are not strong enough to cover …	Wen Qian; Yuesheng Zhu;	2021 IEEE 6th International Conference on Computer and …	2021-01-01
481	A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Open Relation Extraction (OpenRE), aiming to extract relational facts from open-domain corpora, is a sub-task of Relation Extraction and a crucial upstream process for many other …	RENZE LOU et. al.		2021-01-01
482	Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Hongya Zhang; Zhen Huang; Zhenzhen Li; Dongsheng Li; Feng Liu;		2021-01-01
483	Language Adaptation for Entity Relation Classification Via Adversarial Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Entity relation classification aims to classify the semantic relationship between two marked entities in a given sentence, and plays a vital role in various natural language …	Bo-Wei Zou; Rong-Tao Huang; Zeng-Zhuang Xu; Yu Hong; Guo-Dong Zhou;	Journal of Computer Science and Technology	2021-01-01
484	From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: “Few-shot relation classification has attracted great attention recently and is regarded as an ef-fective way to tackle the long-tail problem in relation classification. Most …	FANGCHAO LIU et. al.		2021-01-01
485	Machine Learning Algorithm for Information Extraction from Gynaecological Domain in Tamil Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Information Extraction is a significant task in Natural Language Processing. It is the process of extracting useful information from unstructured text. Information extraction …	M. Rajasekar; Angelina Geetha;		2021-01-01
486	VidVRD 2021: The Third Grand Challenge on Video Relation Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: ACM Multimedia 2021 Video Relation Understanding Challenge is the third grand challenge which aims at exploring the relationship of subjects and objects appearing in videos for …	WEI JI et. al.	Proceedings of the 29th ACM International Conference on …	2021-01-01
487	MNRE: A Challenge Multimodal Dataset for Neural Relation Extraction with Visual Evidence in Social Media Posts Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Extracting relations in social media posts is challenging when sentences lack of contexts. However, images related to these sentences can supplement such missing contexts and help …	Changmeng Zheng; Zhiwei Wu; Junhao Feng; Ze Fu; Yi Cai;	2021 IEEE International Conference on Multimedia and Expo …	2021-01-01
488	CovidBERT-Biomedical Relation Extraction for Covid-19 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Given the ongoing pandemic of Covid-19 which has had a devastating impact on society and the economy, and the explosive growth of biomedical literature, there has been a growing …	Shashank Hebbar; Ying Xie;		2021-01-01
489	Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The Graph Convolutional Network (GCN) is a universal relation extraction method that can predict relations of entity pairs by capturing sentences’ syntactic features. However, …	YuanChangsen; HuangHeyan; FengChong;	ACM Transactions on Intelligent Systems and Technology	2021-01-01
490	Learning Context-Aware Convolutional Filters for Implicit Discourse Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Implicit discourse relation classification (IDRC) is considered the most difficult component of shallow discourse parsing as the relation prediction in the absence of necessary …	Kashif Munir; Hai Zhao; Zuchao Li;	IEEE/ACM Transactions on Audio, Speech, and Language …	2021-01-01
491	Relation Extraction Using Multiple Pre-Training Models in Biomedical Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The number of biomedical documents is increasing rapidly. Accordingly, a demand for extracting knowledge from large-scale biomedical texts is also increasing. BERT-based models …	Satoshi Hiai; Kazutaka Shimada; Taiki Watanabe; Akiva Miura; Tomoya Iwakura;		2021-01-01
492	Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Diana Sousa;		2021-01-01
493	Document-level Relation Extraction Via Graph Transformer Networks and Temporal Convolutional Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yong Shi; Yang Xiao; Pei Quan; Minglong Lei; Lingfeng Niu;	Pattern Recognit. Lett.	2021-01-01
494	Application of Knowledge-oriented Convolutional Neural Network For Causal Relation Extraction In South China Sea Conflict Issues Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Online news articles are an important source of information for decisions makers to understand the causal relation of events that happened. However, understanding the causality of …	Koh Leong Chien; Anazida Zainal; Fuad A. Ghaleb; Mohd Nizam Kassim;	2021 3rd International Cyber Resilience Conference (CRC)	2021-01-01
495	Contrastive Information Extraction With Generative Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Information extraction tasks such as entity relation extraction and event extraction are of great importance for natural language processing and knowledge graph construction. In …	NINGYU ZHANG et. al.	IEEE/ACM Transactions on Audio, Speech, and Language …	2021-01-01
496	Document-level Relation Extraction Using Evidence Reasoning on RST-GRAPH Literature Review Related Patents Related Grants Related Orgs Related Experts Details	HAILIN WANG et. al.	Knowl. Based Syst.	2021-01-01
497	GCN2-NAA: Two-stage Graph Convolutional Networks with Node-Aware Attention for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Joint extraction of entities and relations is critical for many tasks of Natural Language Processing (NLP), which aims to extract all triplets in the text. However, the huge …	WeiCai Niu; Quan Chen; Weiwen Zhang; Jianwen Ma; Zhongqiang Hu;	2021 13th International Conference on Machine Learning and …	2021-01-01
498	WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Domain Adaptation is a fundamental problem in machine learning and natural language processing. In this paper, we study the domain adaptation problem from the perspective of …	Xiang Chen; Yue Cao; Xiaojun Wan;		2021-01-01
499	Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating Literature Review Related Patents Related Grants Related Orgs Related Experts Details	SHENGBIN JIA et. al.		2021-01-01
500	Attention-based Seq2seq Regularisation for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction is an important task for information extraction aiming to detect and extract semantic relationships between entity pairs in sentences. A lot of recently …	Haojie Huang; Raymond K. Wong;	2021 International Joint Conference on Neural Networks …	2021-01-01
501	Unsupervised Relation Extraction Using Sentence Encoding Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction between two named entities from unstructured text is an important natural language processing task. In the absence of labelled data, semi-supervised and …	Manzoor Ali; Muhammad Saleem; Axel-Cyrille Ngonga Ngomo;		2021-01-01
502	Chinese Relation Extraction on Forestry Knowledge Graph Construction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Qi Yue; Xiang Li; Dan Li;	Comput. Syst. Sci. Eng.	2021-01-01
503	Chinese Medical Relation Extraction Based on Multi-hop Self-attention Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The medical literature is the most important way to demonstrate academic achievements and academic exchanges. Massive medical literature has become a huge treasure trove of …	TONGXUAN ZHANG et. al.	Int. J. Mach. Learn. Cybern.	2021-01-01
504	Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Joint entity and relation extraction is an essential task in information extraction, which aims to extract all relational triples from unstructured text. However, few existing …	Kang Zhao; Hua Xu; Yue Cheng; Xiaoteng Li; Kai Gao;	Knowl. Based Syst.	2021-01-01
505	Relating Relations: Meta-Relation Extraction from Online Health Forum Posts Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction is a key task in knowledge extraction, and is commonly defined as the task of identifying relations that hold between entities in text. This thesis proposal …	Daniel Stickley;		2021-01-01
506	Relation Extraction: A Brief Survey on Deep Neural Network Based Methods Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Knowledge, data, algorithms and computing power are the foundations of artificial intelligence (AI), for which knowledge is the most powerful support. An effective way to acquire …	Hailin Wang; Guoming Lu; Jin Yin; Ke Qin;	2021 The 4th International Conference on Software …	2021-01-01
507	Enhancing Dialogue-based Relation Extraction By Speaker and Trigger Words Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Identifying relations from dialogues is more challenging than traditional sentence-level relation extraction (RE), since the difficulties of speaker information representation and …	Tianyang Zhao; Zhao Yan; Yunbo Cao; Zhoujun Li;		2021-01-01
508	From What to Why: Improving Relation Extraction with Rationale Graph Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Which type of information affects the existing neural relation extraction (RE) models to make correct decisions is an important question. In this paper, we observe that entity …	ZHENYU ZHANG et. al.		2021-01-01
509	Selection Gate-based Networks for Semantic Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	JUN SUN et. al.	Int. J. Embed. Syst.	2021-01-01
510	Distant Supervision for Relation Extraction Via Noise Filtering Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: As a widely used method in relation extraction at the present stage suggests, distant supervision is affected by label noise. The data noise is introduced artificially due to the …	Jing Chen; Zhiqiang Guo; Jie Yang;	2021 13th International Conference on Machine Learning and …	2021-01-01
511	A Region-based Hypergraph Network for Joint Entity-relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Qian Wan; Luona Wei; Xinhai Chen; Jie Liu;	Knowl. Based Syst.	2021-01-01
512	On Robustness and Bias Analysis Of BERT-Based Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Fine-tuning pre-trained models have achieved impressive performance on standard natural language processing benchmarks. However, the resultant model generalizability remains …	LUOQIU LI et. al.	Knowledge Graph and Semantic Computing: Knowledge Graph …	2021-01-01
513	Improved Distant Supervision Relation Extraction Based on Edge-reasoning Hybrid Graph Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision relation extraction (DSRE) trains a classifier by automatically labeling data through aligning triples in the knowledge base (KB) with large-scale corpora. …	Shirong Shen; Shangfu Duan; Huan Gao; Guilin Qi;	J. Web Semant.	2021-01-01
514	What Are They Talking About? Relation Extraction from News to Identify Research Directions in Emerging Technologies Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Nicolas Prat;		2021-01-01
515	Relation Extraction with Type-aware Map Memories of Word Dependencies Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Relation extraction is an important task in information extraction and retrieval that aims to extract relations among the given entities from running texts. To achieve a good …	Guimin Chen; Yuanhe Tian; Yan Song; Xiang Wan;		2021-01-01
516	Paths to Relation Extraction Through Semantic Structure IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Syntactic and semantic structure directly reflect relations expressed by the text at hand and are thus very useful for the relation extraction (RE) task. Their symbolic nature …	Jonathan Yellin; Omri Abend;		2021-01-01
517	Disease-Symptom Relation Extraction from Medical Text Corpora with BERT Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Adrian Schiegl;		2021-01-01
518	GrantRel: Grant Information Extraction Via Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: August 1–6, 2021. ©2021 Association for Computational Linguistics 2674 GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction Junyi Bian 1 8 , Li Huang 1 …	Junyi Bian; Li Huang; Xiaodi Huang; Hong Zhou; Shanfeng Zhu;		2021-01-01
519	Relation Extraction in Dialogues: A Deep Learning Model Based on The Generality and Specialty of Dialogue Text Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction from dialogue text is an innovative task in natural language processing. In addition to the general characteristics of general relation extraction from news or …	Mengjia Zhou; Donghong Ji; Fei Li;	IEEE/ACM Transactions on Audio, Speech, and Language …	2021-01-01
520	HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Relation extraction (RE) is an essential topic in natural language processing and has attracted extensive attention. Current RE approaches achieve fantastic results on common …	QIAO CHENG et. al.		2021-01-01
521	REBEL: Relation Extraction By End-to-end Language Generation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details	Pere-Lluís Huguet Cabot; Roberto Navigli;		2021-01-01
522	ESRE: Handling Repeated Entities in Distant Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervised relation extraction has been widely used to find novel relational facts from unstructured text. As far as we know, nearly all existing relation extraction …	Xin Sun; Jinghu Jiang; Yuming Shang;	Neural Comput. Appl.	2021-01-01
523	Chinese Entity Relation Extraction Based on Multi-level Gated Recurrent Mechanism and Self-attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: There is the influence of polysemy and segmentation quality on semantic understanding for Chinese entity relation extraction, we propose a Chinese entity relation extraction model …	Zicheng Zhong;	2021 2nd International Conference on Artificial …	2021-01-01
524	Chinese Entity Relation Classification Via Fusing Granularity Information and Gated Recurrent Mechanism Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Entity relation classification is a foundational natural language processing task, which plays an important role in text analysis. At present, most of the methods for Chinese …	Zicheng Zhong;	2021 2nd International Conference on Artificial …	2021-01-01
525	Joint Entity and Relation Extraction Model Based on Rich Semantics IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Zhiqiang Geng; Yanhui Zhang; Yongming Han;	Neurocomputing	2021-01-01
526	End-to-end Drug Entity Recognition and Adverse Effect Relation Extraction Via Principal Neighbourhood Aggregation Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Drug entity and adverse effect relation extraction is a critical task that aims to recognize drug entity and extract adverse effect relation from the unstructured medical text. …	Luyue Kong; Qinghan Lai; Song Liu;	Journal of Physics: Conference Series	2021-01-01
527	Video Visual Relation Detection Via Iterative Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The core problem of video visual relation detection (VidVRD) lies in accurately classifying the relation triplets, which comprise of the classes of subject and object entities, …	Xindi Shang; Yicong Li; Junbin Xiao; Wei Ji; Tat-Seng Chua;	Proceedings of the 29th ACM International Conference on …	2021-01-01
528	Gold Panning: Automatic Extraction of Scientific Information from Publications Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The millions of scientific papers published every year have made it well beyond any human’s ability to read and curate. As a result, valuable data and potentially ground-breaking …	Zhi Hong; Kyle Chard; Ian T. Foster;	2021 IEEE 17th International Conference on eScience …	2021-01-01
529	Relation Extraction for Coal Mine Safety Information Using Recurrent Neural Networks with Bidirectional Minimal Gated Unit Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: The data of coal mine safety field are massive, multi-source and heterogeneous. It is of practical importance to extract information from big data to achieve disaster precaution …	Xiulei Liu; Shoulu Hou; Zhihui Qin; Sihan Liu; Jian Zhang;	EURASIP Journal on Wireless Communications and Networking	2021-01-01
530	Question Answering System Using Knowledge Graph Generation and Knowledge Base Enrichment with Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	K. Sathees Kumar; S. Chitrakala;		2021-01-01
531	CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: CogNet is a knowledge base that integrates three types of knowledge: linguistic knowledge, world knowledge and commonsense knowledge. In this paper, we propose an information …	ZHUORAN JIN et. al.	Proceedings of the 59th Annual Meeting of the Association …	2021-01-01
532	Entity and Entity Type Enhanced Capsule Network for Distant Supervision Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: In the task of distant supervision relation extraction, attention mechanism is introduced to distinguish correct instances from noise. However, the existing attention is often …	Hongjun Heng; Renjie Li;	2021 International Joint Conference on Neural Networks …	2021-01-01
533	Distant Supervision for Relation Extraction with Sentence Selection and Interaction Representation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision (DS) has been widely used for relation extraction (RE), which automatically generates large-scale labeled data. However, there is a wrong labeling problem, …	Tiantian Chen; Nianbin Wang; Hongbin Wang; Haomin Zhan;	Wirel. Commun. Mob. Comput.	2021-01-01
534	A Knowledge-Enriched and Span-Based Network for Joint Entity and Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	KUN DING et. al.	Cmc-computers Materials & Continua	2021-01-01
535	Auto-learning Convolution-Based Graph Convolutional Network for Medical Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	MENGYUAN QIAN et. al.		2021-01-01
536	Image-Based Relation Classification Approach for Table Structure Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Koji Ichikawa;		2021-01-01
537	Context, Structure and Syntax-aware RST Discourse Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper describes the architecture of a shift-reduce parsing framework that (1) leverages the representational powers of BERT and Hierarchical Attention Networks (HANs) and (2) …	Takshak Desai; Dan I. Moldovan;	2021 IEEE 15th International Conference on Semantic …	2021-01-01
538	Deep Learning on Graphs for Natural Language Processing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Due to its great power in modeling non-Euclidean data like graphs or manifolds, deep learning on graph techniques (i.e., Graph Neural Networks (GNNs)) have opened a new door to …	Lingfei Wu; Yu Chen; Heng Ji; Yunyao Li;		2021-01-01
539	Joint Extraction of Entities and Relations Via An Entity Correlated Attention Neural Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Named entity recognition and relation extraction are crucial tasks in natural language processing . As the traditional pipelined manners may suffer from the error propagation …	REN LI et. al.	Information Sciences	2021-01-01
540	A Noise-aware Method with Type Constraint Pattern for Neural Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Jianfeng Qu; Wen Hua; Dantong Ouyang; Xiaofang Zhou;	IEEE Transactions on Knowledge and Data Engineering	2021-01-01
541	ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Abstract: Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wad-den et al., 2019) usually adopt the multi-task learning framework. However, …	YIJUN WANG et. al.		2021-01-01
542	A Relation-aware Attention Neural Network for Modeling The Usage of Scientific Online Resources Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: More and more online resources for computer science are introduced, used and released in scientific literature in recent years. Knowledge about the usage of these online resources …	YONGXIU XU et. al.	2021 International Joint Conference on Neural Networks …	2021-01-01
543	Frog-GNN: Multi-perspective Aggregation Based Graph Neural Network for Few-shot Text Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Few-shot text classification aims to learn a classifier from very few labeled text instances per class. Previous few-shot research works in NLP are mainly based on Prototypical …	Shiyao Xu; Yang Xiang;	Expert Syst. Appl.	2021-01-01
544	Domain-specific Meta-embedding with Latent Semantic Structures Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Meta-embedding aims at assembling pre-trained embeddings from various sources and producing more expressively powerful word representations. Many natural language processing (NLP) …	QIAN LIU et. al.	Inf. Sci.	2021-01-01
545	Leveraging Syntactic Dependency and Lexical Similarity for Neural Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Yashen Wang;		2021-01-01
546	Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Wenqiang Xu; Shiqun Yin; Junfeng Zhao; Ting Pu;		2021-01-01
547	NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Document-level relation extraction aims to identify semantic relations between target entities from the document. Most of the existing work roughly treats the document as a long …	Zhenyu Zhang; Bowen Yu; Xiaobo Shu; Tingwen Liu;		2021-01-01
548	ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Shiyang Li;	Proceedings of the 33rd International Conference on …	2021-01-01
549	Neural Relation Extraction: A Review Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Neural relation extraction discovers semantic relations between entities from unstructured text using deep learning methods. In this study, we make a clear categorization of the …	Mehmet Aydar; Özge Bozal; Furkan Özbay;	Turkish J. Electr. Eng. Comput. Sci.	2021-01-01
550	Entity-Aware Relation Representation Learning for Open Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Zihao Liu; Yan Zhang; Huizhen Wang; Jingbo Zhu;		2021-01-01
551	HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Nan Hu; Taolin Zhang; Shuangji Yang; Wei Nong; Xiaofeng He;		2021-01-01
552	Multi-Attribute Relation Extraction (MARE): Simplifying The Application of Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Natural language understanding’s relation extraction makes innovative and encouraging novel business concepts possible and facilitates new digitilized decision-making processes. …	Lars Klöser; Philipp Kohl; Bodo Kraft; Albert Zündorf;	ArXiv	2021-01-01
553	An End-to-End Method for Joint Extraction of Tibetan Entity Relations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Entity relation extraction is to find entities and relations from unstructured texts, which is beneficial to the applications of knowledge graphs and question answering systems. …	Yuan Sun; Sisi Liu; Tianci Xia; Xiaobing Zhao;	Journal of Computer and Communications	2021-01-01
554	Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details	YUBAO TANG et. al.		2021-01-01
555	Robust Neural Relation Extraction Via Multi-Granularity Noises Reduction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation. However, current distantly supervised …	Xinsong Zhang; Tianyi Liu; Pengshuai Li; Weijia Jia; Hai Zhao;	IEEE Transactions on Knowledge and Data Engineering	2021-01-01
556	Topological Relation Detection Technology of Substation Wiring Diagram in Electric Power System Literature Review Related Patents Related Grants Related Orgs Related Experts Details	LI HAO et. al.	Journal of Beijing University of Aeronautics and …	2021-01-01
557	Entity Relation Extraction Based on Entity Indicators Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction aims to extract semantic relationships between two specified named entities in a sentence. Because a sentence often contains several named entity pairs, a …	YONGBIN QIN et. al.	Symmetry	2021-01-01
558	DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Scientific documents are replete with measurements mentioned in various formats and styles. As such, in a document with multiple quantities and measured entities, the task of …	Amir Pouran Ben Veyseh; Franck Dernoncourt; Thien Huu Nguyen;		2021-01-01
559	Towards An Entity Relation Extraction Framework in The Cross-lingual Context Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Purpose Owing to the uneven distribution of annotated corpus among different languages, it is necessary to bridge the gap between low resource languages and high resource …	Chuanming Yu; Haodong Xue; Manyi Wang; Lu An;	The Electronic Library	2021-01-01
560	Entity Relation Extraction Based on Multi-attention Mechanism and BiGRU Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Lingyun Wang; Caiquan Xiong; Wenxiang Xu; Song Lin;		2021-01-01
561	Utilizing Graph Neural Networks to Improving Dialogue-based Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Relation extraction has been an active research interest in the field of Natural Language Processing (NLP). The past works primarily focused on a corpus of formal text which is …	Lulu Zhao; Weiran Xu; Sheng Gao; Jun Guo;	Neurocomputing	2021-01-01
562	Interventional Video Relation Detection IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video Visual Relation Detection (VidVRD) aims to semantically describe the dynamic interactions across visual concepts localized in a video in the form of subject, predicate, …	Yicong Li; Xun Yang; Xindi Shang; Tat-Seng Chua;	Proceedings of the 29th ACM International Conference on …	2021-01-01
563	A Boundary Determined Neural Model for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Existing models extract entity relations only after two entity spans have been precisely extracted that influenced the performance of relation extraction. Compared with …	RUI XUE TANG;	INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL	2021-01-01
564	Relation Classification Based on Vietnamese Covid-19 Information Using BERT Model with Typed Entity Markers Literature Review Related Patents Related Grants Related Orgs Related Experts Details	Truong Minh Giang; Phan Duy Hung;		2021-01-01
565	Double Multi-Head Attention-Based Capsule Network for Relation Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Semantic relation classification is an important task in the field of nature language processing. The existing neural network relation classification models introduce attention …	Hongjun Heng; Renjie Li;		2021-01-01
566	Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: To better learn the dependency relationship between nodes, we address the relationship extraction task by capturing rich contextual dependencies based on the attention mechanism, …	Zhixin Li; Yaru Sun; Suqin Tang; Canlong Zhang; Huifang Ma;	2020 25th International Conference on Pattern Recognition …	2021-01-01
567	Transformer with Local-feature Extractor for Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Many pre-trained models recently achieved successful results in many NLP tasks. However, such models with heavy structure often led to problems such as a great amount of training …	Lihan Liu; Pengfei Li;	2021 International Joint Conference on Neural Networks …	2021-01-01
568	Discourse-level Relation Extraction Via Graph Pooling Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we leverage the idea of graph pooling and propose to use pooling-unpooling framework on DRE tasks.	I-Hung Hsu; Xiao Guo; Premkumar Natarajan; Nanyun Peng;	arxiv-cs.CL	2020-12-31
569	An Embarrassingly Simple Model for Dialogue Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a simple yet effective model named SimpleRE for the RE task.	Fuzhao Xue; Aixin Sun; Hao Zhang; Jinjie Ni; Eng Siong Chng;	arxiv-cs.CL	2020-12-27
570	An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we present an empirical study of using pre-trained BERT models for the relation extraction task at the VLSP 2020 Evaluation Campaign.	Pham Quang Nhat Minh;	arxiv-cs.CL	2020-12-18
571	Regularized Attentive Capsule Network For Overlapped Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we propose a novel Regularized Attentive Capsule Network (RA-CapNet) to better identify highly overlapped relations in each informal sentence.	Tianyi Liu; Xiangyu Lin; Weijia Jia; Mingliang Zhou; Wei Zhao;	arxiv-cs.CL	2020-12-18
572	R$^2$-Net: Relation Of Relation Learning Network For Sentence Semantic Matching Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we propose a Relation of Relation Learning Network (R2-Net) for sentence semantic matching.	KUN ZHANG et. al.	arxiv-cs.CL	2020-12-16
573	InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources For Distantly-supervised Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce two widely-existing sources in knowledge bases, namely entity descriptions, and multi-grained entity types to enrich the distantly supervised data.	Zhendong Chu; Haiyun Jiang; Yanghua Xiao; Wei Wang;	arxiv-cs.CL	2020-12-16
574	Complex Relation Extraction: Challenges And Opportunities Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Then we summarize the existing complex relation extraction tasks and present the definition, recent progress, challenges and opportunities for each task.	HAIYUN JIANG et. al.	arxiv-cs.CL	2020-12-08
575	Improving Relation Extraction By Leveraging Knowledge Graph Link Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we leverage this insight by proposing a multi-task learning approach that improves the performance of RE models by jointly training on RE and KGLP tasks.	George Stoica; Emmanouil Antonios Platanios; Barnabás Póczos;	arxiv-cs.CL	2020-12-08
576	From Bag Of Sentences To Document: Distantly Supervised Relation Extraction Via Machine Reading Comprehension Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a new DS paradigm–document-based distant supervision, which models relation extraction as a document-based machine reading comprehension (MRC) task.	Lingyong Yan; Xianpei Han; Le Sun; Fangchao Liu; Ning Bian;	arxiv-cs.CL	2020-12-08
577	H-FND: Hierarchical False-Negative Denoising For Distant Supervision Relation Extraction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We here propose H-FND, a hierarchical false-negative denoising framework for robust distant supervision relation extraction, as an FN denoising solution.	Jhih-Wei Chen; Tsu-Jui Fu; Chen-Kang Lee; Wei-Yun Ma;	arxiv-cs.CL	2020-12-07
578	Event Guided Denoising For Multilingual Relation Learning Literature Review Related Patents Related Grants