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Most Influential SIGIR 2017 Paper · 2026-03 edition

DBpedia-Entity V2: A Test Collection For Entity Search

Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Svein Erik Bratsberg, Alexander Kotov, Jamie Callan

Venue
ACM SIGIR Conference (SIGIR) 2017
Recognition
Most Influential SIGIR 2017 Paper (Rank No. 12)
Edition
2026-03
Impact factor
4
Certificate ID
dddedca58c550c79

Abstract

The DBpedia-entity collection has been used as a standard test collection for entity search in recent years. We develop and release a new version of this test collection, DBpedia-Entity v2, which uses a more recent DBpedia dump and a unified candidate result pool from the same set of retrieval models. Relevance judgments are also collected in a uniform way, using the same group of crowdsourcing workers, following the same assessment guidelines. The result is an up-to-date and consistent test collection.To facilitate further research, we also provide details about the pre-processing and indexing steps, and include baseline results from both classical and recently developed entity search methods.

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