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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

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