RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips
Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma
Correct Metadata for
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 meta-data 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.- Anthology ID:
- 2022.coling-1.295
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 3342–3352
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.295/
- DOI:
- Bibkey:
- Cite (ACL):
- Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, and Fenglong Ma. 2022. RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3342–3352, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips (Xu et al., COLING 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.295.pdf
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@inproceedings{xu-etal-2022-realmeddial,
title = "{R}eal{M}ed{D}ial: A Real Telemedical Dialogue Dataset Collected from Online {C}hinese Short-Video Clips",
author = "Xu, Bo and
Zhang, Hongtong and
Wang, Jian and
Zhang, Xiaokun and
Hao, Dezhi and
Zong, Linlin and
Lin, Hongfei and
Ma, Fenglong",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.295/",
pages = "3342--3352",
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 meta-data 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."
}
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%0 Conference Proceedings %T RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips %A Xu, Bo %A Zhang, Hongtong %A Wang, Jian %A Zhang, Xiaokun %A Hao, Dezhi %A Zong, Linlin %A Lin, Hongfei %A Ma, Fenglong %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F xu-etal-2022-realmeddial %X 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 meta-data 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. %U https://aclanthology.org/2022.coling-1.295/ %P 3342-3352
Markdown (Informal)
[RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips](https://aclanthology.org/2022.coling-1.295/) (Xu et al., COLING 2022)
- RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips (Xu et al., COLING 2022)
ACL
- Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, and Fenglong Ma. 2022. RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3342–3352, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.