Transfer learning for biomedical named entity recognition with neural networks

MOTIVATION: The explosive increase of biomedical literature has made information extraction an increasingly important tool for biomedical research. A fundamental task is the recognition of biomedical named entities in text (BNER) such as genes/proteins, diseases and species. Recently, a domain-indep...

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Detalles Bibliográficos
Autores principales: Giorgi, John M, Bader, Gary D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247938/
https://www.ncbi.nlm.nih.gov/pubmed/29868832
http://dx.doi.org/10.1093/bioinformatics/bty449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247938/
https://www.ncbi.nlm.nih.gov/pubmed/29868832
http://dx.doi.org/10.1093/bioinformatics/bty449

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