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

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

11 June 2021
H. Weld
Guanghao Huang
Jean Lee
Tongshu Zhang
Kunze Wang
Xinghong Guo
Siqu Long
Josiah Poon
S. Han
ArXivPDFHTML

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

4 / 4 papers shown
Title
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
Priyanshul Govil
Hemang Jain
Vamshi Krishna Bonagiri
Aman Chadha
Ponnurangam Kumaraguru
Manas Gaur
Sanorita Dey
55
2
0
22 Feb 2024
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Jie Yang
S. Han
Siqu Long
Josiah Poon
Goran Nenadic
45
0
0
12 Aug 2023
In-game Toxic Language Detection: Shared Task and Attention Residuals
In-game Toxic Language Detection: Shared Task and Attention Residuals
Yuanzhe Jia
Weixuan Wu
Feiqi Cao
S. Han
18
3
0
11 Nov 2022
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online
  News Comment
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
Jean Lee
Taejun Lim
Hee-Youn Lee
Bogeun Jo
Yangsok Kim
Heegeun Yoon
S. Han
24
18
0
23 Aug 2022
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