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

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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Bibliographic Details
Main Authors: Xiaoling Cai, Shoubin Dong, Jinlong Hu
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Part of speech
Chinese electronic medical records
Named entity recognition
Online Access:http://link.springer.com/article/10.1186/s12911-019-0762-7

Internet

http://link.springer.com/article/10.1186/s12911-019-0762-7

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