Abstract
Intelligent medical services have attracted great research interests for providing automated medical consultation. However, the lack of corpora becomes a main obstacle to related research, particularly data from real scenarios. In this paper, we construct RealMedDial, a Chinese medical dialogue dataset based on real medical consultation. RealMedDial contains 2,637 medical dialogues and 24,255 utterances obtained from Chinese short-video clips of real medical consultations. We collected and annotated a wide range of metadata with respect to medical dialogue including doctor profiles, hospital departments, diseases and symptoms for fine-grained analysis on language usage pattern and clinical diagnosis. We evaluate the performance of medical response generation, department routing and doctor recommendation on RealMedDial. Results show that RealMedDial are applicable to a wide range of NLP tasks with respect to medical dialogue.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3342-3352 |
| Number of pages | 11 |
| Journal | Proceedings - International Conference on Computational Linguistics, COLING |
| Volume | 29 |
| Issue number | 1 |
| State | Published - 2022 |
| Event | 29th International Conference on Computational Linguistics, COLING 2022 - Gyeongju, Korea, Republic of Duration: Oct 12 2022 → Oct 17 2022 |
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Science Applications
- Theoretical Computer Science