@inproceedings{priyadharshini-etal-2023-overview,
title = "Overview of Shared-task on Abusive Comment Detection in {T}amil and {T}elugu",
author = "Priyadharshini, Ruba and
Chakravarthi, Bharathi Raja and
S, Malliga and
Cn, Subalalitha and
S V, Kogilavani and
B, Premjith and
Murugappan, Abirami and
Kumaresan, Prasanna Kumar",
editor = "Chakravarthi, Bharathi R. and
Priyadharshini, Ruba and
M, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth",
booktitle = "Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages",
month = sep,
year = "2023",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2023.dravidianlangtech-1.11",
pages = "80--87",
abstract = "This paper discusses the submissions to the shared task on abusive comment detection in Tamil and Telugu codemixed social media text conducted as part of the third Workshop on Speech and Language Technologies for Dravidian Languages at RANLP 20239. The task encourages researchers to develop models to detect the contents containing abusive information in Tamil and Telugu codemixed social media text. The task has three subtasks - abusive comment detection in Tamil, Tamil-English and Telugu-English. The dataset for all the tasks was developed by collecting comments from YouTube. The submitted models were evaluated using macro F1-score, and prepared the rank list accordingly.",
}
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<abstract>This paper discusses the submissions to the shared task on abusive comment detection in Tamil and Telugu codemixed social media text conducted as part of the third Workshop on Speech and Language Technologies for Dravidian Languages at RANLP 20239. The task encourages researchers to develop models to detect the contents containing abusive information in Tamil and Telugu codemixed social media text. The task has three subtasks - abusive comment detection in Tamil, Tamil-English and Telugu-English. The dataset for all the tasks was developed by collecting comments from YouTube. The submitted models were evaluated using macro F1-score, and prepared the rank list accordingly.</abstract>
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%0 Conference Proceedings
%T Overview of Shared-task on Abusive Comment Detection in Tamil and Telugu
%A Priyadharshini, Ruba
%A Chakravarthi, Bharathi Raja
%A S, Malliga
%A Cn, Subalalitha
%A S V, Kogilavani
%A B, Premjith
%A Murugappan, Abirami
%A Kumaresan, Prasanna Kumar
%Y Chakravarthi, Bharathi R.
%Y Priyadharshini, Ruba
%Y M, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%S Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F priyadharshini-etal-2023-overview
%X This paper discusses the submissions to the shared task on abusive comment detection in Tamil and Telugu codemixed social media text conducted as part of the third Workshop on Speech and Language Technologies for Dravidian Languages at RANLP 20239. The task encourages researchers to develop models to detect the contents containing abusive information in Tamil and Telugu codemixed social media text. The task has three subtasks - abusive comment detection in Tamil, Tamil-English and Telugu-English. The dataset for all the tasks was developed by collecting comments from YouTube. The submitted models were evaluated using macro F1-score, and prepared the rank list accordingly.
%U https://aclanthology.org/2023.dravidianlangtech-1.11
%P 80-87
Markdown (Informal)
[Overview of Shared-task on Abusive Comment Detection in Tamil and Telugu](https://aclanthology.org/2023.dravidianlangtech-1.11) (Priyadharshini et al., DravidianLangTech-WS 2023)
ACL
- Ruba Priyadharshini, Bharathi Raja Chakravarthi, Malliga S, Subalalitha Cn, Kogilavani S V, Premjith B, Abirami Murugappan, and Prasanna Kumar Kumaresan. 2023. Overview of Shared-task on Abusive Comment Detection in Tamil and Telugu. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 80–87, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.