Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang
- Anthology ID:
- 2021.findings-acl.197
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2237–2249
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.197
- DOI:
- 10.18653/v1/2021.findings-acl.197
- Cite (ACL):
- Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, and Jun Huang. 2021. Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2237–2249, Online. Association for Computational Linguistics.
- Cite (Informal):
- Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources (Zhang et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.findings-acl.197.pdf
- Code
- matnlp/cmedmrc
- Data
- Natural Questions