This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order ...

This dataset contains 108,463 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 ...

The PAWS dataset can be used to train a machine learning model to identify paraphrases. The PAWS dataset can be used to improve the accuracy of a machine ...

We remedy this gap with PAWS-X, a new dataset of 23,659 human translated PAWS evaluation pairs in six typologically distinct languages: French, Spanish, German, ...

This dataset contains 23,659 human translated PAWS evaluation pairs and 296,406 machine translated training pairs in six typologically distinct languages: ...

PAWS-X dataset contains 23,659 human translated PAWS evaluation pairs and 296,406 machine translated training pairs in six typologically distinct languages: ...

In out work, we use the PAWS dataset. PAWS training data dramatically improves performance on challenging examples and makes models more robust to real world ...

1 апр. 2019 г. · This paper introduces PAWS (Paraphrase Adversaries from Word Scrambling), a new dataset with 108,463 well-formed paraphrase and non ...

15 дек. 2022 г. · This corpus contains pairs generated from Wikipedia pages, containing pairs that are generated from both word swapping and back translation ...