Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction

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The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCr...

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Detalles Bibliográficos
Autores principales: Le, Hoang-Quynh, Tran, Mai-Vu, Dang, Thanh Hai, Ha, Quang-Thuy, Collier, Nigel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962668/
https://www.ncbi.nlm.nih.gov/pubmed/27630201
http://dx.doi.org/10.1093/database/baw102

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