Skip to main content

Knowledge-Grounded Dialogue Generation for Medical Conversations: A Survey.

Tools

Liu, X., Chang, J. and Zhang, J. J., 2023. Knowledge-Grounded Dialogue Generation for Medical Conversations: A Survey. In: Gurrola, J., ed. 2023 27th International Conference Information Visualisation (IV). New York, NY: IEEE, 409-413.

Full text available as:

[img] PDF
Vis_Med_Dialo-Gen.pdf - Accepted Version
Restricted to Repository staff only until 6 November 2025.
Available under License Creative Commons Attribution Non-commercial.
608kB

Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk.

Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material.

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.

Item Type:Book Section
ISBN:9798350341614
ISSN:1093-9547
Additional Information:25-28 July 2023, Tampere, Finland.
Uncontrolled Keywords:Dialogue generation; Medical conversation system; Knowledge-grounded dialogue generation
Group:Faculty of Media & Communication
ID Code:39269
Deposited By: Symplectic RT2
Deposited On:13 Dec 2023 16:12
Last Modified:13 Dec 2023 16:12

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -