CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Henry Weld, Guanghao Huang, Jean Lee, Tongshu Zhang, Kunze Wang, Xinghong Guo, Siqu Long, Josiah Poon, Caren Han


Anthology ID:
2021.findings-acl.213
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:
2406–2416
Language:
URL:
https://aclanthology.org/2021.findings-acl.213
DOI:
10.18653/v1/2021.findings-acl.213
Bibkey:
Cite (ACL):
Henry Weld, Guanghao Huang, Jean Lee, Tongshu Zhang, Kunze Wang, Xinghong Guo, Siqu Long, Josiah Poon, and Caren Han. 2021. CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2406–2416, Online. Association for Computational Linguistics.
Cite (Informal):
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection (Weld et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.213.pdf
Video:
 https://aclanthology.org/2021.findings-acl.213.mp4
Data
Hate Speech