PARANMT-50M

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations

This work uses ParaNMT-50M, a dataset of more than 50 million English-English sentential paraphrase pairs, to train paraphrastic sentence embeddings that outperform all supervised systems on every SemEval semantic textual similarity competition, in addition to showing how it can be used for paraphrase generation.