Multi-turn Dialog System on Single-turn Data in Medical Domain
Nazib Sorathiya, Lin Chuan-An, Daniel Chen Daniel Xiong, Scott Zin, Yi Zhang, He S. Yang, Xiaolei Huang · arXiv (Cornell University) · 2021
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.