Chinese medical entity recognition based on the dual-branch TENER model

BACKGROUND: Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the application results of NER methods in Chinese electronic medical records (EMRs) are not...

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Detalles Bibliográficos
Autores principales: Peng, Hui, Zhang, Zhichang, Liu, Dan, Qin, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367390/
https://www.ncbi.nlm.nih.gov/pubmed/37488521
http://dx.doi.org/10.1186/s12911-023-02243-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367390/
https://www.ncbi.nlm.nih.gov/pubmed/37488521
http://dx.doi.org/10.1186/s12911-023-02243-y

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