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

BACKGROUND: With the prevalence of online consultation, many patient-doctor dialogues have accumulated, which, in an authentic language environment, are of significant value to the research and development of intelligent question answering and automated triage in recent natural language processing s...

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Detalles Bibliográficos
Autores principales: Sun, Yuanyuan, Gao, Dongping, Shen, Xifeng, Li, Meiting, Nan, Jiale, Zhang, Weining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073616/
https://www.ncbi.nlm.nih.gov/pubmed/35451969
http://dx.doi.org/10.2196/35606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073616/
https://www.ncbi.nlm.nih.gov/pubmed/35451969
http://dx.doi.org/10.2196/35606

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