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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.249.pdf
Code
 qiaojiim/hacred
Data
BC5CDRDocREDWebNLG