Chemical-induced disease relation extraction via convolutional neural network

This article describes our work on the BioCreative-V chemical–disease relation (CDR) extraction task, which employed a maximum entropy (ME) model and a convolutional neural network model for relation extraction at inter- and intra-sentence level, respectively. In our work, relation extraction betwee...

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Detalles Bibliográficos
Autores principales: Gu, Jinghang, Sun, Fuqing, Qian, Longhua, Zhou, Guodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467558/
https://www.ncbi.nlm.nih.gov/pubmed/28415073
http://dx.doi.org/10.1093/database/bax024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467558/
https://www.ncbi.nlm.nih.gov/pubmed/28415073
http://dx.doi.org/10.1093/database/bax024

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