Prefix Data Augmentation for Contrastive Learning of Unsupervised Sentence Embedding
This paper presents prefix data augmentation (Prd) as an innovative method for enhancing sentence embedding learning through unsupervised contrastive learning. The framework, dubbed PrdSimCSE, uses Prd to create both positive and negative sample pairs. By appending positive and negative prefixes to...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-03-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/14/7/2880 |
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