Knowledge-Grounded Dialogue Generation for Medical Conversations: A Survey
Authors: Liu, X., Chang, J. and Zhang, J.J.
Journal: Proceedings of the International Conference on Information Visualisation
Pages: 409-413
ISBN: 9798350341614
ISSN: 1093-9547
DOI: 10.1109/IV60283.2023.00075
Abstract:Applying Artificial Intelligence (AI) techniques such as natural language generation in assisting medical treatment and diagnosis has made distinguished progress. One such technique is dialogue generation. The application of a medical dialogue system in assisting medical treatment has great potential to explore. This paper serves as a survey of digging application of AI techniques in knowledge-grounded dialogue generation for medical conversation systems. Meanwhile, we provide an academic visualization method to present such references.
https://eprints.bournemouth.ac.uk/39269/
Source: Scopus
Knowledge-Grounded Dialogue Generation for Medical Conversations: A Survey
Authors: Liu, X., Chang, J. and Zhang, J.J.
Journal: 2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV
Pages: 409-413
eISSN: 2375-0138
ISSN: 1550-6037
DOI: 10.1109/IV60283.2023.00075
https://eprints.bournemouth.ac.uk/39269/
Source: Web of Science (Lite)
Knowledge-Grounded Dialogue Generation for Medical Conversations: A Survey
Authors: Liu, X., Chang, J. and Zhang, J.J.
Editors: Gurrola, J.
Pages: 409-413
Publisher: IEEE
Place of Publication: New York, NY
ISBN: 9798350341614
ISSN: 1093-9547
Abstract:Applying Artificial Intelligence (AI) techniques such as natural language generation in assisting medical treatment and diagnosis has made distinguished progress. One such technique is dialogue generation. The application of a medical dialogue system in assisting medical treatment has great potential to explore. This paper serves as a survey of digging application of AI techniques in knowledge-grounded dialogue generation for medical conversation systems. Meanwhile, we provide an academic visualization method to present such references.
https://eprints.bournemouth.ac.uk/39269/
Source: BURO EPrints