Exploiting syntactic and semantics information for chemical–disease relation extraction

Identifying chemical–disease relations (CDR) from biomedical literature could improve chemical safety and toxicity studies. This article proposes a novel syntactic and semantic information exploitation method for CDR extraction. The proposed method consists of a feature-based model, a tree kernel-ba...

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Detalles Bibliográficos
Autores principales: Zhou, Huiwei, Deng, Huijie, Chen, Long, Yang, Yunlong, Jia, Chen, Huang, Degen
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/PMC4831723/
https://www.ncbi.nlm.nih.gov/pubmed/27081156
http://dx.doi.org/10.1093/database/baw048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831723/
https://www.ncbi.nlm.nih.gov/pubmed/27081156
http://dx.doi.org/10.1093/database/baw048

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