Generative named entity recognition framework for Chinese legal domain

Generative named entity recognition framework for Chinese legal domain

Named entity recognition (NER) is a crucial task in natural language processing, particularly challenging in the legal domain due to the intricate and lengthy nature of legal entities. Existing methods often struggle with accurately identifying entity boundaries and types in legal texts. To address...

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Bibliographic Details
Main Authors: Xingliang Mao, Jie Jiang, Yongzhe Zeng, Yinan Peng, Shichao Zhang, Fangfang Li
Format: Article
Language:English
Published: PeerJ Inc. 2024-11-01
Series:PeerJ Computer Science
Subjects:
Named entity recognition
Legal text
Contrastive learning
Multi-task training
Online Access:https://peerj.com/articles/cs-2428.pdf
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