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Multi-turn Dialog System on Single-turn Data in Medical Domain (2105.12887v1)

Published 27 May 2021 in cs.CL and cs.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.

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Authors (7)
  1. Nazib Sorathiya (1 paper)
  2. Chuan-An Lin (1 paper)
  3. Daniel Chen Daniel Xiong (1 paper)
  4. Scott Zin (1 paper)
  5. Yi Zhang (994 papers)
  6. He Sarina Yang (1 paper)
  7. Sharon Xiaolei Huang (4 papers)