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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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Principais autores: Xingliang Mao, Jie Jiang, Yongzhe Zeng, Yinan Peng, Shichao Zhang, Fangfang Li
Formato: Artigo
Idioma:Inglês
Publicado em: PeerJ Inc. 2024-11-01
coleção:PeerJ Computer Science
Assuntos:
Named entity recognition
Legal text
Contrastive learning
Multi-task training
Acesso em linha:https://peerj.com/articles/cs-2428.pdf
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