HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications
Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua Xiao
- Anthology ID:
- 2021.findings-acl.249
- 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:
- 2819–2831
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.249
- DOI:
- 10.18653/v1/2021.findings-acl.249
- Cite (ACL):
- Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, and Yanghua Xiao. 2021. HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2819–2831, Online. Association for Computational Linguistics.
- Cite (Informal):
- HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications (Cheng et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.findings-acl.249.pdf
- Code
- qiaojiim/hacred
- Data
- BC5CDR, DocRED, WebNLG