Chandu Janakiram

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2024

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Findings of the Shared Task on Hate and Offensive Language Detection in Telugu Codemixed Text (HOLD-Telugu)@DravidianLangTech 2024
Premjith B | Bharathi Raja Chakravarthi | Prasanna Kumar Kumaresan | Saranya Rajiakodi | Sai Prashanth Karnati | Sai Rishith Reddy Mangamuru | Chandu Janakiram
Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages

This paper examines the submissions of various participating teams to the task on Hate and Offensive Language Detection in Telugu Codemixed Text (HOLD-Telugu) organized as part of DravidianLangTech 2024. In order to identify the contents containing harmful information in Telugu codemixed social media text, the shared task pushes researchers and academicians to build models. The dataset for the task was created by gathering YouTube comments and annotated manually. A total of 23 teams participated and submitted their results to the shared task. The rank list was created by assessing the submitted results using the macro F1-score.
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