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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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Dades bibliogràfiques
Publicat a:Database (Oxford)
Autors principals: Burns, Gully A, Li, Xiangci, Peng, Nanyun
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2019
Matèries:
Accés en línia: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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