MED
Monotonicity Entailment Dataset
홈페이지 · 논문 18편
MED is a new evaluation dataset that covers a wide range of monotonicity reasoning that was created by crowdsourcing and collected from linguistics publications. The dataset was constructed by collecting naturally-occurring examples by crowdsourcing and well-designed ones from linguistics publications. It consists of 5,382 examples. Source: https://github.com/verypluming/MED Image Source: https://www.aclweb.org/anthology/W19-4804v2.pdf
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