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TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
TACRED revisited: A thorough evaluation of the TACRED relation extraction task. -
CoNLL-03, CoNLL-04, ACE-05, and CoNLL-12 datasets
The dataset used in the paper for named entity recognition, end-to-end relation extraction, and coreference resolution. -
Resume, CoNLL-2004, FewFC
Resume for NER; CoNLL-2004 for RE; FewFC for EE -
WIKIDISTANT
A dataset for relation extraction, containing 454 target relation categories, including the negative relation. -
GIDS Dataset
The GIDS dataset is a benchmark dataset for relation extraction, created by Jat et al. (2018) by extending the Google relation extraction corpus. -
Riedel Dataset
The Riedel dataset is a benchmark dataset for relation extraction, developed by Riedel et al. (2010) by aligning Freebase relations with New York Times corpus.