BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework

BACKGROUND: Automatic and accurate recognition of various biomedical named entities from literature is an important task of biomedical text mining, which is the foundation of extracting biomedical knowledge from unstructured texts into structured formats. Using the sequence labeling framework and de...

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Detalles Bibliográficos
Autores principales: Zheng, Xiangwen, Du, Haijian, Luo, Xiaowei, Tong, Fan, Song, Wei, Zhao, Dongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682683/
https://www.ncbi.nlm.nih.gov/pubmed/36418937
http://dx.doi.org/10.1186/s12859-022-05051-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682683/
https://www.ncbi.nlm.nih.gov/pubmed/36418937
http://dx.doi.org/10.1186/s12859-022-05051-9

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