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://preview.aclanthology.org/Author-page-Marten-During-lu/2021.findings-acl.213/
- DOI:
- 10.18653/v1/2021.findings-acl.213
- 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)
- PDF:
- https://preview.aclanthology.org/Author-page-Marten-During-lu/2021.findings-acl.213.pdf
- Data
- Hate Speech