Overview of Abusive Comment Detection in Tamil-ACL 2022

Ruba Priyadharshini, Bharathi Raja Chakravarthi, Subalalitha Cn, Thenmozhi Durairaj, Malliga Subramanian, Kogilavani Shanmugavadivel, Siddhanth U Hegde, Prasanna Kumaresan


Abstract
The social media is one of the significantdigital platforms that create a huge im-pact in peoples of all levels. The commentsposted on social media is powerful enoughto even change the political and businessscenarios in very few hours. They alsotend to attack a particular individual ora group of individuals. This shared taskaims at detecting the abusive comments in-volving, Homophobia, Misandry, Counter-speech, Misogyny, Xenophobia, Transpho-bic. The hope speech is also identified. Adataset collected from social media taggedwith the above said categories in Tamiland Tamil-English code-mixed languagesare given to the participants. The par-ticipants used different machine learningand deep learning algorithms. This paperpresents the overview of this task compris-ing the dataset details and results of theparticipants.
Anthology ID:
2022.dravidianlangtech-1.44
Volume:
Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
DravidianLangTech
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
292–298
Language:
URL:
https://aclanthology.org/2022.dravidianlangtech-1.44
DOI:
10.18653/v1/2022.dravidianlangtech-1.44
Bibkey:
Cite (ACL):
Ruba Priyadharshini, Bharathi Raja Chakravarthi, Subalalitha Cn, Thenmozhi Durairaj, Malliga Subramanian, Kogilavani Shanmugavadivel, Siddhanth U Hegde, and Prasanna Kumaresan. 2022. Overview of Abusive Comment Detection in Tamil-ACL 2022. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 292–298, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Overview of Abusive Comment Detection in Tamil-ACL 2022 (Priyadharshini et al., DravidianLangTech 2022)
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