CNN-based ranking for biomedical entity normalization

BACKGROUND: Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that...

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Detalles Bibliográficos
Autores principales: Li, Haodi, Chen, Qingcai, Tang, Buzhou, Wang, Xiaolong, Xu, Hua, Wang, Baohua, Huang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629610/
https://www.ncbi.nlm.nih.gov/pubmed/28984180
http://dx.doi.org/10.1186/s12859-017-1805-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629610/
https://www.ncbi.nlm.nih.gov/pubmed/28984180
http://dx.doi.org/10.1186/s12859-017-1805-7

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