TACRED (The TAC Relation Extraction Dataset)
Introduced by Zhang et al. in Position-aware Attention and Supervised Data Improve Slot Filling
TACRED is a large-scale relation extraction dataset with 106,264 examples built over newswire and web text from the corpus used in the yearly TAC Knowledge Base Population (TAC KBP) challenges. Examples in TACRED cover 41 relation types as used in the TAC KBP challenges (e.g., per:schools_attended and org:members) or are labeled as no_relation if no defined relation is held. These examples are created by combining available human annotations from the TAC KBP challenges and crowdsourcing.
Source: https://nlp.stanford.edu/projects/tacred/
Benchmarks
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TACRED
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RAG4RE
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TACRED
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Deepstruct zero-shot
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Papers
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