Legal Text Recognition Using LSTM-CRF Deep Learning Model

In legal texts, named entity recognition (NER) is researched using deep learning models. First, the bidirectional (Bi)-long short-term memory (LSTM)-conditional random field (CRF) model for studying NER in legal texts is established. Second, different annotation methods are used to compare and analy...

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Detalles Bibliográficos
Autores principales: Xu, Hesheng, Hu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947905/
https://www.ncbi.nlm.nih.gov/pubmed/35341203
http://dx.doi.org/10.1155/2022/9933929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947905/
https://www.ncbi.nlm.nih.gov/pubmed/35341203
http://dx.doi.org/10.1155/2022/9933929

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