GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation
Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao, Xiaoqi Han
- Anthology ID:
- 2021.findings-acl.113
- 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:
- 1319–1330
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.113
- DOI:
- 10.18653/v1/2021.findings-acl.113
- Cite (ACL):
- Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao, and Xiaoqi Han. 2021. GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1319–1330, Online. Association for Computational Linguistics.
- Cite (Informal):
- GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation (Tan et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2021.findings-acl.113.pdf
- Code
- sxunlp/gcrc
- Data
- 2WikiMultiHopQA, C3, DREAM, HotpotQA, MultiRC, ReClor