Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study
Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study
Yuanyuan Sun
1, 2
, BSc ;
Dongping Gao
1
, PhD ;
Xifeng Shen
1
, BSc ;
Meiting Li
1
, BSc ;
Jiale Nan
1
, BA ;
Weining Zhang
1
, BSc
1
Institute of Medical Information, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
2
Department of Internal Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
Corresponding Author:
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Dongping Gao, PhD
-
Institute of Medical Information
-
Chinese Academy of Medical Sciences
-
Peking Union Medical College
-
No 3 Yabao Road
-
Chaoyang District
-
Beijing, 100020
-
China
-
Phone:
86 10-5232-8720
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Email: gaodp_gaodp@126.com