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Multi-turn Dialog System on Single-turn Data in Medical Domain

2021-05-27 00:42:11
Nazib Sorathiya, Chuan-An Lin, Daniel Chen Daniel Xiong, Scott Zin, Yi Zhang, He Sarina Yang, Sharon Xiaolei Huang
arXiv_AI
         
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2105.12887

PDF

https://arxiv.org/pdf/2105.12887.pdf

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