Extracting chemical–protein relations with ensembles of SVM and deep learning models

Mining relations between chemicals and proteins from the biomedical literature is an increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the development and evaluation of systems that can automatically detect the chemical–protein relations in running text (PubMed abstra...

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Detalles Bibliográficos
Autores principales: Peng, Yifan, Rios, Anthony, Kavuluru, Ramakanth, Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051439/
https://www.ncbi.nlm.nih.gov/pubmed/30020437
http://dx.doi.org/10.1093/database/bay073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051439/
https://www.ncbi.nlm.nih.gov/pubmed/30020437
http://dx.doi.org/10.1093/database/bay073

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