Long short-term memory RNN for biomedical named entity recognition

BACKGROUND: Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Random Fields (CRFs), have been successfully used for...

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Detalles Bibliográficos
Autores principales: Lyu, Chen, Chen, Bo, Ren, Yafeng, Ji, Donghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663060/
https://www.ncbi.nlm.nih.gov/pubmed/29084508
http://dx.doi.org/10.1186/s12859-017-1868-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663060/
https://www.ncbi.nlm.nih.gov/pubmed/29084508
http://dx.doi.org/10.1186/s12859-017-1868-5

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