SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields

BACKGROUND: Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease NER is a still an open and essential research pro...

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Detalles Bibliográficos
Autores principales: Xu, Kai, Zhou, Zhanfan, Gong, Tao, Hao, Tianyong, Liu, Wenyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284263/
https://www.ncbi.nlm.nih.gov/pubmed/30526592
http://dx.doi.org/10.1186/s12911-018-0690-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284263/
https://www.ncbi.nlm.nih.gov/pubmed/30526592
http://dx.doi.org/10.1186/s12911-018-0690-y

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