natural-language-processing-16
Hyper-Relational Extraction
3260 papers • 126 benchmarks • 313 datasets
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).
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