Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations

  title={Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations},
  author={J. Wieting and Kevin Gimpel},
  • J. Wieting, Kevin Gimpel
  • Published in ACL 2018
  • Computer Science, Mathematics
  • We extend the work of Wieting et al. (2017), back-translating a large parallel corpus to produce a dataset of more than 51 million English-English sentential paraphrase pairs in a dataset we call ParaNMT-50M. We find this corpus to be cover many domains and styles of text, in addition to being rich in paraphrases with different sentence structure, and we release it to the community. To show its utility, we use it to train paraphrastic sentence embeddings using only minor changes to the… CONTINUE READING
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