Recently there has been a huge interest in dialog systems. This interest has also been developed in the field of the medical domain where researchers are focusing on building a dialog system in the medical domain. This research is focused on the multi-turn dialog system trained on the multi-turn dialog data. It is difficult to gather a huge amount of multi-turn conversational data in the medical domain that is verified by professionals and can be trusted. However, there are several frequently asked questions (FAQs) or single-turn QA pairs that have information that is verified by the experts and can be used to build a multi-turn dialog system.
@article{arxiv.2105.12887,
title = {Multi-turn Dialog System on Single-turn Data in Medical Domain},
author = {Nazib Sorathiya and Chuan-An Lin and Daniel Chen Daniel Xiong and Scott Zin and Yi Zhang and He Sarina Yang and Sharon Xiaolei Huang},
journal= {arXiv preprint arXiv:2105.12887},
year = {2021}
}