Contrastive Meta-Learner for Automatic Text Labeling and Semantic Textual Similarity
Generating large labeled datasets is a common barrier in machine learning efforts, with frequent challenges in both labeling and creating useful models for these datasets. We introduce a new approach to the automatic text labeling and semantic textual similarity tasks, which utilizes an encoder laye...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10587218/ |
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