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

Abstract 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 express...

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Detalles Bibliográficos

Principais autores:	Xiaoling Cai, Shoubin Dong, Jinlong Hu
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2019-04-01
Series:	BMC Medical Informatics and Decision Making
Assuntos:	Part of speech Chinese electronic medical records Named entity recognition
Acceso en liña:	http://link.springer.com/article/10.1186/s12911-019-0762-7
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