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AIMed, BioInfer, LocText and unlabeled data
The dataset used in the paper is AIMed, BioInfer, LocText and unlabeled data. -
ENTITYRE: A Large-Scale Distantly Supervised Relation Extraction Dataset
ENTITYRE dataset for distant supervision of relation extraction -
TIMERE: A Large-Scale Distantly Supervised Relation Extraction Dataset
TIMERE dataset for distant supervision of relation extraction -
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dy...
Distantly supervised relation extraction task using dynamic transition matrix -
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. -
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.