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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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Detalhes bibliográficos
Publicado no:Database (Oxford)
Main Authors: Burns, Gully A, Li, Xiangci, Peng, Nanyun
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6449534/
https://ncbi.nlm.nih.gov/pubmed/30938776
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baz034
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