Multi-turn Dialog System on Single-turn Data in Medical Domain
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 14 references that are in the map. First posted on arXiv 27 May 2021.
Builds on
7 of 14 references.
References · 7
- 2018CoQA: A Conversational Question Answering Challengecited by 683
- 2018QuAC : Question Answering in Contextcited by 381
- 2017IQA: Visual Question Answering in Interactive Environmentscited by 155
- 2019Towards Knowledge-Based Recommender Dialog Systemcited by 113
- 2018Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systemscited by 70
- 2018Modeling Multi-turn Conversation with Deep Utterance Aggregationcited by 65
- 2016A Context-aware Attention Network for Interactive Question Answeringcited by 6
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Citing papers per year: 2025: 1.
1 paper.