Biomedical named entity recognition using deep neural networks with contextual information

BACKGROUND: In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed methods for NER are dictionary- or rule-based methods and machine learning approaches. However, these traditional approaches are heavil...

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Detalles Bibliográficos
Autores principales: Cho, Hyejin, Lee, Hyunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935215/
https://www.ncbi.nlm.nih.gov/pubmed/31881938
http://dx.doi.org/10.1186/s12859-019-3321-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935215/
https://www.ncbi.nlm.nih.gov/pubmed/31881938
http://dx.doi.org/10.1186/s12859-019-3321-4

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