This paper introduces PAWS (Paraphrase Adversaries from Word Scrambling), a new dataset with 108,463 well-formed paraphrase and non-paraphrase pairs with high ...

This dataset contains 108463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order ...

Paraphrase Adversaries from Word Scrambling (PAWS) is a dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of ...

PAWS: Paraphrase Adversaries from Word Scrambling This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of ...

Dataset Summary. PAWS: Paraphrase Adversaries from Word Scrambling. This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the ...

PAWS (Paraphrase Adversaries from Word Scrambling), a new dataset with 108,463 well-formed paraphrase and non-paraphrase pairs with high lexical overlap, ...

Created by Zhang et al. at 2019, the Paraphrase Adversaries from Word Scrambling (PAWS) Dataset contains 108,463 human-labeled and 656k noisily labeled pairs ...

alternateName, Paraphrase Adversaries from Word Scrambling ; description, PAWS-X dataset contains 23,659 human translated PAWS evaluation pairs and 296,406 ...

This paper introduces PAWS (Paraphrase Adversaries from Word Scrambling), a new dataset with 108,463 well-formed paraphrase and non-paraphrase pairs with high ...

15 дек. 2022 г. · For further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling at https://arxiv.org/abs/1904.01130. This ...