Building deep learning models for evidence classification from the open access biomedical literature

We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and PubMed Central open access records and used it to t...

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Detalles Bibliográficos
Autores principales: Burns, Gully A, Li, Xiangci, Peng, Nanyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449534/
https://www.ncbi.nlm.nih.gov/pubmed/30938776
http://dx.doi.org/10.1093/database/baz034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449534/
https://www.ncbi.nlm.nih.gov/pubmed/30938776
http://dx.doi.org/10.1093/database/baz034

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