Efficient Unsupervised Semantic Similarity Through Dual-Masked Prompting
Unsupervised text semantic similarity is an important task in natural language processing that aims to learn robust text representations without labeled data. A major challenge in this domain, particularly for contrastive learning methods, is efficiently generating a sufficient number of high-qualit...
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| Principais autores: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
IEEE
2025-01-01
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| סדרה: | IEEE Access |
| נושאים: | |
| גישה מקוונת: | https://ieeexplore.ieee.org/document/11169751/ |
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