Disease named entity recognition from biomedical literature using a novel convolutional neural network

BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intensive and time-consuming. Though most deep learning...

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Detalles Bibliográficos
Autores principales: Zhao, Zhehuan, Yang, Zhihao, Luo, Ling, Wang, Lei, Zhang, Yin, Lin, Hongfei, Wang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751782/
https://www.ncbi.nlm.nih.gov/pubmed/29297367
http://dx.doi.org/10.1186/s12920-017-0316-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751782/
https://www.ncbi.nlm.nih.gov/pubmed/29297367
http://dx.doi.org/10.1186/s12920-017-0316-8

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