Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments

05/12/2022

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by   Manikandan Ravikiran, et al.

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Georgia Institute of Technology

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Insight Centre for Data Analytics

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Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in codemixed Dravidian languages is limited to classifying whole comments without identifying part of it contributing to offensiveness. Such limitation is primarily due to the lack of annotated data for offensive spans. Accordingly, in this shared task, we provide Tamil-English code-mixed social comments with offensive spans. This paper outlines the dataset so released, methods, and results of the submitted systems