Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words (2023.findings-emnlp)
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| Challenge: | Embedding a sentence into a point in a highdimensional continuous space plays a foundational role in the natural language processing. |
| Approach: | They propose to use contrastive loss to fine-tune sentences by inverse word frequency . they also show that more informative words receive greater weight than less informative ones . |
| Outcome: | The proposed method improves the performance of sentence embeddings by weighing them based on information-theoretic quantities. |
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