Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF-Reference-Cited by-同舟云学术

Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF

Published:2023-12-05 Issue: Volume:62 Page:4609-4614
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Lou Qifeng¹,Wang Shutong²,Chen Jiahao¹,Mu Dongmei³,Wang Ying⁴,Huang Lili¹

Affiliation:

1. Changchun University of Chinese Medicine,College of Medical Information,ChangChun,China

2. Changchun University of Chinese Medicin School of Public Health Jilin University,College of Medical Information,ChangChun,China

3. The First Hospital of Jilin University,School of Public Health Jilin University Division of Clinical Research,ChangChun,China

4. Jilin University,College of Computer Science and Technology,ChangChun,China

Funder

National Natural Science Foundation of China

Jilin Scientific and Technological Development Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385347.pdf?arnumber=10385347

Reference28 articles.

1. Methodology Explorations for Conducting Real-world Studies based on Traditional Chinese Medicine Case Records;Linlin;Journal of Traditional Chinese Medicine,2021

2. Study on Named Entity Recognition of Chinese Medical Records Based onBERT-BiLSTM-CRF with Chinese Radicals;Bin;Journal of Medical Informatics,2023

3. Named Entity Recognition with Bidirectional LSTM-CNNs

4. Study on the characteristics of Chinese medical language and its translation;Yongsheng;Journal of Lanzhou Vocational Technical College,2023

5. Medical Named Entity Recognition Incorporating Word Information and Graph Attention;Zhenzhen;Computer Engineering and Applications,2023