An efficient framework for learning sentence representations

  title={An efficient framework for learning sentence representations},
  author={Lajanugen Logeswaran and Honglak Lee},
In this work we propose a simple and efficient framework for learning sentence representations from unlabelled data. Drawing inspiration from the distributional hypothesis and recent work on learning sentence representations, we reformulate the problem of predicting the context in which a sentence appears as a classification problem. Given a sentence and the context in which it appears, a classifier distinguishes context sentences from other contrastive sentences based on their vector… CONTINUE READING
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