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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.dravidianlangtech-1.44.pdf