HyperRED (Hyper-Relational Extraction Dataset)
Introduced by Chia et al. in A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information such as time, quantity or location. For example, the relation triplet (Leonard Parker, Educated At, Harvard University) can be factually enriched by including the qualifier (End Time, 1967). HyperRED contains 44k sentences with 62 relation types and 44 qualifier types.
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Papers
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