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SimCSE - Simple Contrastive Learning for sentence Embeddings

  • First, unsupervised approach which takes an input sentence and predicts itself in a contrastive objective with only standard dropout used as noise
  • Supervised approach using NLI datasets, entailment pairs are ”positive” examples while contradiction pairs are “hard negatives”.
  • State of the art on STS tasks

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