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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.197.pdf
Video:
 https://aclanthology.org/2021.findings-acl.197.mp4
Code
 matnlp/cmedmrc
Data
Natural Questions