We present a model and methodology for learning paraphrastic sentence embeddings directly from bitext, removing the time-consuming intermediate step of creating paraphrase corpora. Further, we show that the resulting model can be applied to cross-lingual tasks where it both outperforms and is orders of magnitude faster than more complex state-of-the-art baselines.
@article{arxiv.1909.13872,
title = {Simple and Effective Paraphrastic Similarity from Parallel Translations},
author = {John Wieting and Kevin Gimpel and Graham Neubig and Taylor Berg-Kirkpatrick},
journal= {arXiv preprint arXiv:1909.13872},
year = {2019}
}