In-game Toxic Language Detection: Shared Task and Attention Residuals
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866909560461066240 |
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| author | Jia, Yuanzhe Wu, Weixuan Cao, Feiqi Han, Soyeon Caren |
| author_facet | Jia, Yuanzhe Wu, Weixuan Cao, Feiqi Han, Soyeon Caren |
| contents | In-game toxic language becomes the hot potato in the gaming industry and community. There have been several online game toxicity analysis frameworks and models proposed. However, it is still challenging to detect toxicity due to the nature of in-game chat, which has extremely short length. In this paper, we describe how the in-game toxic language shared task has been established using the real-world in-game chat data. In addition, we propose and introduce the model/framework for toxic language token tagging (slot filling) from the in-game chat. The relevant code is publicly available on GitHub: https://github.com/Yuanzhe-Jia/In-Game-Toxic-Detection |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_05995 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | In-game Toxic Language Detection: Shared Task and Attention Residuals Jia, Yuanzhe Wu, Weixuan Cao, Feiqi Han, Soyeon Caren Computation and Language In-game toxic language becomes the hot potato in the gaming industry and community. There have been several online game toxicity analysis frameworks and models proposed. However, it is still challenging to detect toxicity due to the nature of in-game chat, which has extremely short length. In this paper, we describe how the in-game toxic language shared task has been established using the real-world in-game chat data. In addition, we propose and introduce the model/framework for toxic language token tagging (slot filling) from the in-game chat. The relevant code is publicly available on GitHub: https://github.com/Yuanzhe-Jia/In-Game-Toxic-Detection |
| title | In-game Toxic Language Detection: Shared Task and Attention Residuals |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2211.05995 |