Abstract
In-game toxic language has emerged as a critical concern in the gaming industry and community. While several frameworks and models for online game toxicity analysis have been proposed, detecting toxicity in player chat utterances remains a formidable challenge: stemming not only from the extremely short length of such utterances but also from the heavy reliance on game slang, abbreviations, and domain-specific jargon, which generic language models are poorly suited to recognize. This paper presents a shared task for in-game toxic language detection built upon real-world in-game chat data, and proposes the best-preforming model for the toxic language slot filling: Bi-directional Representations with Attention Residuals (BRAR). Experimental results demonstrate that BRAR effectively captures the global context and outperforms the existing baselines on slot filling.
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Publication details
- Journal
- Not available
- Open access
- Green open access
Cite this article
APA 7
Jia, Y. (2026). In-game Toxic Detection: Bi-directional Representations with Attention Residuals. https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals
MLA 9
Jia, Yuanzhe. "In-game Toxic Detection: Bi-directional Representations with Attention Residuals." https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals.
Chicago (author–date)
Jia, Yuanzhe. 2026. "In-game Toxic Detection: Bi-directional Representations with Attention Residuals." https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals.
Harvard
Jia, Y. (2026) 'In-game Toxic Detection: Bi-directional Representations with Attention Residuals', Available at: https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals.
Vancouver
Jia Y. In-game Toxic Detection: Bi-directional Representations with Attention Residuals. https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals
IEEE
Y. Jia, "In-game Toxic Detection: Bi-directional Representations with Attention Residuals," https://omanscience.com/en/articles/in-game-toxic-detection-bi-directional-representations-with-attention-residuals.