Few-shot learning for text classification

Few-shot text classification addresses the critical challenge of performing accurate classification in scenarios with limited labeled data, a common constraint in many real-world applications. Motivated by the need to improve model performance under such constraints, this report explores advanced ap...

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書目詳細資料
主要作者: Cao, Jianzhe
其他作者: Mao Kezhi
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2025
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在線閱讀:https://hdl.handle.net/10356/182917
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機構: Nanyang Technological University
語言: English