Decomposed Two-Stage Prompt Learning for Few-Shot Named Entity Recognition

Named entity recognition (NER) in a few-shot setting is an extremely challenging task, and most existing methods fail to account for the gap between NER tasks and pre-trained language models. Although prompt learning has been successfully applied in few-shot classification tasks, adapting to token-l...

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Autors principals:	Feiyang Ye, Liang Huang, Senjie Liang, KaiKai Chi
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-04-01
Col·lecció:	Information
Matèries:	named entity recognition prompt learning few-shot distant labels natural language processing
Accés en línia:	https://www.mdpi.com/2078-2489/14/5/262
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