KCB-FLAT: Enhancing Chinese Named Entity Recognition with Syntactic Information and Boundary Smoothing Techniques

Named entity recognition (NER) is a fundamental task in Natural Language Processing (NLP). During the training process, NER models suffer from over-confidence, and especially for the Chinese NER task, it involves word segmentation and introduces erroneous entity boundary segmentation, exacerbating o...

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Detalhes bibliográficos

Principais autores:	Zhenrong Deng, Zheng Huang, Shiwei Wei, Jinglin Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-08-01
Colecção:	Mathematics
Assuntos:	named entity recognition Chinese NER syntactic information word-boundary smoothing
Acesso em linha:	https://www.mdpi.com/2227-7390/12/17/2714
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