Advancing Few-Shot Named Entity Recognition with Large Language Model

Few-shot named entity recognition (NER) involves identifying specific entities using limited data. Metric learning-based methods, which compute token-level similarities between query and support sets to identify target entities, have demonstrated remarkable performance in this task. However, their e...

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Detalles Bibliográficos

Autores principales:	Yuhui Xiao, Jianjian Zou, Qun Yang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-04-01
Colección:	Applied Sciences
Materias:	few-shot named entity recognition large language models prompt engineering
Acceso en línea:	https://www.mdpi.com/2076-3417/15/7/3838
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