Biomedical named entity recognition based on fusion multi-features embedding

BACKGROUND: With the exponential increase in the volume of biomedical literature, text mining tasks are becoming increasingly important in the medical domain. Named entities are the primary identification tasks in text mining, prerequisites and critical parts for building medical domain knowledge gr...

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Detalles Bibliográficos
Autores principales: Li, Meijing, Yang, Hao, Liu, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258877/
https://www.ncbi.nlm.nih.gov/pubmed/37038786
http://dx.doi.org/10.3233/THC-236011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258877/
https://www.ncbi.nlm.nih.gov/pubmed/37038786
http://dx.doi.org/10.3233/THC-236011

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