@inproceedings{priyadharshini-etal-2022-overview,
title = "Overview of Abusive Comment Detection in {T}amil-{ACL} 2022",
author = "Priyadharshini, Ruba and
Chakravarthi, Bharathi Raja and
Cn, Subalalitha and
Durairaj, Thenmozhi and
Subramanian, Malliga and
Shanmugavadivel, Kogilavani and
U Hegde, Siddhanth and
Kumaresan, Prasanna",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Krishnamurthy, Parameswari and
Sherly, Elizabeth and
Mahesan, Sinnathamby",
booktitle = "Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.dravidianlangtech-1.44",
doi = "10.18653/v1/2022.dravidianlangtech-1.44",
pages = "292--298",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Overview of Abusive Comment Detection in Tamil-ACL 2022
%A Priyadharshini, Ruba
%A Chakravarthi, Bharathi Raja
%A Cn, Subalalitha
%A Durairaj, Thenmozhi
%A Subramanian, Malliga
%A Shanmugavadivel, Kogilavani
%A U Hegde, Siddhanth
%A Kumaresan, Prasanna
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Krishnamurthy, Parameswari
%Y Sherly, Elizabeth
%Y Mahesan, Sinnathamby
%S Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F priyadharshini-etal-2022-overview
%X 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.
%R 10.18653/v1/2022.dravidianlangtech-1.44
%U https://aclanthology.org/2022.dravidianlangtech-1.44
%U https://doi.org/10.18653/v1/2022.dravidianlangtech-1.44
%P 292-298
Markdown (Informal)
[Overview of Abusive Comment Detection in Tamil-ACL 2022](https://aclanthology.org/2022.dravidianlangtech-1.44) (Priyadharshini et al., DravidianLangTech 2022)
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.