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DocRED: A Large-Scale Document-Level Relation Extraction Dataset
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Multiple entities in a document generally exhibit complex inter-sentence relations, and cannot be well handled by existing relation extraction (RE) methods that typically focus on extracting intra-sentence relations for single entity pairs. In order to accelerate the research on document-level RE, we introduce DocRED, a new dataset constructed from Wikipedia and Wikidata with three features: (1) DocRED annotates both named entities and relations, and is the largest humanannotated dataset for
doi:10.18653/v1/p19-1074
dblp:conf/acl/YaoYLHLLLHZS19
fatcat:4hvyw5fpdzb7rj46yrd3b7bwuu