A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records

BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors’ personal style may result in multiple expressions of...

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Detalles Bibliográficos
Autores principales: Cai, Xiaoling, Dong, Shoubin, Hu, Jinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454585/
https://www.ncbi.nlm.nih.gov/pubmed/30961622
http://dx.doi.org/10.1186/s12911-019-0762-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454585/
https://www.ncbi.nlm.nih.gov/pubmed/30961622
http://dx.doi.org/10.1186/s12911-019-0762-7

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