Named Entity Recognition in Government Audit Texts Based on ChineseBERT and Character-Word Fusion

Named Entity Recognition in Government Audit Texts Based on ChineseBERT and Character-Word Fusion

Named entity recognition of government audit text is a key task of intelligent auditing. Aiming at the problems of scarcity of corpus in the field of governmental auditing, insufficient utilization of traditional character vector word-level information features, and insufficient capturing of auditin...

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Bibliographic Details
Main Authors: Baohua Huang, Yunjie Lin, Si Pang, Long Fu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
smart audit
named entity recognition
character-word fusion
GHM loss function
ChineseBERT
Online Access:https://www.mdpi.com/2076-3417/14/4/1425

Internet

https://www.mdpi.com/2076-3417/14/4/1425

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