@inproceedings{rajiakodi-etal-2025-findings,
title = "Findings of the Shared Task on Abusive {T}amil and {M}alayalam Text Targeting Women on Social Media: {D}ravidian{L}ang{T}ech@{NAACL} 2025",
author = "Rajiakodi, Saranya and
Chakravarthi, Bharathi Raja and
Chinnan, Shunmuga Priya Muthusamy and
Priyadharshini, Ruba and
J, Rajameenakshi and
P, Kathiravan and
Ponnusamy, Rahul and
Sivagnanam, Bhuvaneswari and
Buitelaar, Paul and
K, Bhavanimeena and
V, Jananayagam and
Ponnusamy, Kishore Kumar",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth and
Rajiakodi, Saranya and
Palani, Balasubramanian and
Subramanian, Malliga and
Cn, Subalalitha and
Chinnappa, Dhivya",
booktitle = "Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
month = may,
year = "2025",
address = "Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.dravidianlangtech-1.115/",
doi = "10.18653/v1/2025.dravidianlangtech-1.115",
pages = "671--681",
ISBN = "979-8-89176-228-2",
abstract = "This overview paper presents the findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media, organized as part of DravidianLangTech@NAACL 2025. The task aimed to encourage the development of robust systems to detectabusive content targeting women in Tamil and Malayalam, two low-resource Dravidian languages. Participants were provided with annotated datasets containing abusive and nonabusive text curated from YouTube comments. We present an overview of the approaches and analyse the results of the shared task submissions. We believe the findings presented in this paper will be useful to researchers working in Dravidian language technology."
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<abstract>This overview paper presents the findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media, organized as part of DravidianLangTech@NAACL 2025. The task aimed to encourage the development of robust systems to detectabusive content targeting women in Tamil and Malayalam, two low-resource Dravidian languages. Participants were provided with annotated datasets containing abusive and nonabusive text curated from YouTube comments. We present an overview of the approaches and analyse the results of the shared task submissions. We believe the findings presented in this paper will be useful to researchers working in Dravidian language technology.</abstract>
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%0 Conference Proceedings
%T Findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media: DravidianLangTech@NAACL 2025
%A Rajiakodi, Saranya
%A Chakravarthi, Bharathi Raja
%A Chinnan, Shunmuga Priya Muthusamy
%A Priyadharshini, Ruba
%A J, Rajameenakshi
%A P, Kathiravan
%A Ponnusamy, Rahul
%A Sivagnanam, Bhuvaneswari
%A Buitelaar, Paul
%A K, Bhavanimeena
%A V, Jananayagam
%A Ponnusamy, Kishore Kumar
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%Y Rajiakodi, Saranya
%Y Palani, Balasubramanian
%Y Subramanian, Malliga
%Y Cn, Subalalitha
%Y Chinnappa, Dhivya
%S Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
%D 2025
%8 May
%I Association for Computational Linguistics
%C Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico
%@ 979-8-89176-228-2
%F rajiakodi-etal-2025-findings
%X This overview paper presents the findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media, organized as part of DravidianLangTech@NAACL 2025. The task aimed to encourage the development of robust systems to detectabusive content targeting women in Tamil and Malayalam, two low-resource Dravidian languages. Participants were provided with annotated datasets containing abusive and nonabusive text curated from YouTube comments. We present an overview of the approaches and analyse the results of the shared task submissions. We believe the findings presented in this paper will be useful to researchers working in Dravidian language technology.
%R 10.18653/v1/2025.dravidianlangtech-1.115
%U https://aclanthology.org/2025.dravidianlangtech-1.115/
%U https://doi.org/10.18653/v1/2025.dravidianlangtech-1.115
%P 671-681
Markdown (Informal)
[Findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media: DravidianLangTech@NAACL 2025](https://aclanthology.org/2025.dravidianlangtech-1.115/) (Rajiakodi et al., DravidianLangTech 2025)
ACL
- Saranya Rajiakodi, Bharathi Raja Chakravarthi, Shunmuga Priya Muthusamy Chinnan, Ruba Priyadharshini, Rajameenakshi J, Kathiravan P, Rahul Ponnusamy, Bhuvaneswari Sivagnanam, Paul Buitelaar, Bhavanimeena K, Jananayagam V, and Kishore Kumar Ponnusamy. 2025. Findings of the Shared Task on Abusive Tamil and Malayalam Text Targeting Women on Social Media: DravidianLangTech@NAACL 2025. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 671–681, Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico. Association for Computational Linguistics.