Simple Data Transformations for Mitigating the Syntactic Similarity to Improve Sentence Embeddings at Supervised Contrastive Learning
Contrastive learning of sentence representations has achieved great improvements in several natural language processing tasks. However, the supervised contrastive learning model trained on the natural language inference (NLI) dataset is insufficient to elucidate the semantics of sentences since it i...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2024-08-01
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| Col·lecció: | Advanced Intelligent Systems |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1002/aisy.202300717 |
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