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

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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Bibliographic Details
Main Authors: Zhenrong Deng, Zheng Huang, Shiwei Wei, Jinglin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Mathematics
Subjects:
named entity recognition
Chinese NER
syntactic information
word-boundary smoothing
Online Access:https://www.mdpi.com/2227-7390/12/17/2714

Internet

https://www.mdpi.com/2227-7390/12/17/2714

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