Chinese medical entity recognition based on the dual-branch TENER model

Chinese medical entity recognition based on the dual-branch TENER model

Abstract Background Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the application results of NER methods in Chinese electronic medical records (EMRs)...

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Bibliographic Details
Main Authors: Hui Peng, Zhichang Zhang, Dan Liu, Xiaohui Qin
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electronic medical records
Named entity recognition
TENER
Char-Entity-Transformer
Dual-branch
Online Access:https://doi.org/10.1186/s12911-023-02243-y

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