Corpus ID: 5882977

Towards Universal Paraphrastic Sentence Embeddings

@article{Wieting2016TowardsUP,
  title={Towards Universal Paraphrastic Sentence Embeddings},
  author={J. Wieting and Mohit Bansal and Kevin Gimpel and Karen Livescu},
  journal={CoRR},
  year={2016},
  volume={abs/1511.08198}
}

J. Wieting, Mohit Bansal, +1 author Karen Livescu

Published 2016

Computer Science

CoRR

We consider the problem of learning general-purpose, paraphrastic sentence embeddings based on supervision from the Paraphrase Database (Ganitkevitch et al., 2013). We compare six compositional architectures, evaluating them on annotated textual similarity datasets drawn both from the same distribution as the training data and from a wide range of other domains. We find that the most complex architectures, such as long short-term memory (LSTM) recurrent neural networks, perform best on the in… CONTINUE READING

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