Building blocks of a task-oriented dialogue system in the healthcare domain

Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste


Abstract
There has been significant progress in dialogue systems research. However, dialogue systems research in the healthcare domain is still in its infancy. In this paper, we analyse recent studies and outline three building blocks of a task-oriented dialogue system in the healthcare domain: i) privacy-preserving data collection; ii) medical knowledge-grounded dialogue management; and iii) human-centric evaluations. To this end, we propose a framework for developing a dialogue system and show preliminary results of simulated dialogue data generation by utilising expert knowledge and crowd-sourcing.
Anthology ID:
2021.nlpmc-1.7
Volume:
Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations
Month:
June
Year:
2021
Address:
Online
Editors:
Chaitanya Shivade, Rashmi Gangadharaiah, Spandana Gella, Sandeep Konam, Shaoqing Yuan, Yi Zhang, Parminder Bhatia, Byron Wallace
Venue:
NLPMC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
47–57
Language:
URL:
https://aclanthology.org/2021.nlpmc-1.7
DOI:
10.18653/v1/2021.nlpmc-1.7
Bibkey:
Cite (ACL):
Heereen Shim, Dietwig Lowet, Stijn Luca, and Bart Vanrumste. 2021. Building blocks of a task-oriented dialogue system in the healthcare domain. In Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations, pages 47–57, Online. Association for Computational Linguistics.
Cite (Informal):
Building blocks of a task-oriented dialogue system in the healthcare domain (Shim et al., NLPMC 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.nlpmc-1.7.pdf