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>> SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification
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SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification
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Release time:2024-11-19
Title of Paper:
SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification
Date of Publication:
2024-11-08
Journal:
Proceedings of the Annual Meeting of the Association for Computational Linguistics
Page Number:
9732-9741
ISSN No.:
0736-587X
Key Words:
Classification (of information); Computational linguistics; Contrastive Learning; Encodings; Features vector; Inter-class distance; Learning paradigms; Metalearning; Metric spaces; Semantic relationships; Semantics; Semantic Space; Text classification; Textual features
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