PAPER DIGEST

PROBLEM TO ADDRESS: It is a daily job for researchers and businessmen to track and read new research results in their interested areas. Such work could usually take long hours to finish and involve reviewing information from multiple sources. Founded in May 2018, we are dedicated to helping people use least time to track academic research progresses and find top experts/organizations in their interested areas.

SOLUTION: Using the state of the art natural language processing, information retrieval and machine learning techniques, we track all new papers published on major academic paper websites (like arxiv, pubmed) as well as thousands of conferences/journals, extract “related” features (e.g. related papers, patents, grants, experts, organizations) and then generate a one sentence summary for each paper to capture the highlight. All analysis results are stored in our knowledge graph to support search and topic tracking. We have developed exclusive techniques to produce high quality text analysis results across all scientific subjects, and are also actively testing newly proposed methods to judge if some of them should be integrated in our system.

SCI-TECH KNOWLEDGE GRAPH: In addition to papers (>100M), our platform also tracks other information directly or indirectly related to scientific literature, including patents (>10M), trademarks (>14M), grants (>3M), company filings (all available to SEC), company financials & business activities (investments, m&a, etc), expert profiles (>11M), organizations (>4M), etc. All such information is integrated in a single knowledge graph to facilitate search and knowledge discovery. Different from other knowledge graphs, we are able to connect scientific & technological progresses to business & financial activities.