@inproceedings{b-etal-2025-overview,
title = "Overview of the Shared Task on Detecting {AI} Generated Product Reviews in {D}ravidian Languages: {D}ravidian{L}ang{T}ech@{NAACL} 2025",
author = "B, Premjith and
Kumaresh, Nandhini and
Chakravarthi, Bharathi Raja and
Durairaj, Thenmozhi and
Palani, Balasubramanian and
Thavareesan, Sajeetha and
Kumaresan, Prasanna 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-1.21/",
doi = "10.18653/v1/2025.dravidianlangtech-1.21",
pages = "123--132",
ISBN = "979-8-89176-228-2",
abstract = "The detection of AI-generated product reviews is critical due to the increased use of large language models (LLMs) and their capability to generate convincing sentences. The AI-generated reviews can affect the consumers and businesses as they influence the trust and decision-making. This paper presents the overview of the shared task on Detecting AI-generated product reviews in Dravidian Languages'' organized as part of DravidianLangTech@NAACL 2025. This task involves two subtasks{---}one in Malayalam and another in Tamil, both of which are binary classifications where a review is to be classified as human-generated or AI-generated. The dataset was curated by collecting comments from YouTube videos. Various machine learning and deep learning-based models ranging from SVM to transformer-based architectures were employed by the participants."
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%0 Conference Proceedings
%T Overview of the Shared Task on Detecting AI Generated Product Reviews in Dravidian Languages: DravidianLangTech@NAACL 2025
%A B, Premjith
%A Kumaresh, Nandhini
%A Chakravarthi, Bharathi Raja
%A Durairaj, Thenmozhi
%A Palani, Balasubramanian
%A Thavareesan, Sajeetha
%A Kumaresan, Prasanna 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 b-etal-2025-overview
%X The detection of AI-generated product reviews is critical due to the increased use of large language models (LLMs) and their capability to generate convincing sentences. The AI-generated reviews can affect the consumers and businesses as they influence the trust and decision-making. This paper presents the overview of the shared task on Detecting AI-generated product reviews in Dravidian Languages” organized as part of DravidianLangTech@NAACL 2025. This task involves two subtasks—one in Malayalam and another in Tamil, both of which are binary classifications where a review is to be classified as human-generated or AI-generated. The dataset was curated by collecting comments from YouTube videos. Various machine learning and deep learning-based models ranging from SVM to transformer-based architectures were employed by the participants.
%R 10.18653/v1/2025.dravidianlangtech-1.21
%U https://aclanthology.org/2025.dravidianlangtech-1.21/
%U https://doi.org/10.18653/v1/2025.dravidianlangtech-1.21
%P 123-132
Markdown (Informal)
[Overview of the Shared Task on Detecting AI Generated Product Reviews in Dravidian Languages: DravidianLangTech@NAACL 2025](https://aclanthology.org/2025.dravidianlangtech-1.21/) (B et al., DravidianLangTech 2025)
ACL
- Premjith B, Nandhini Kumaresh, Bharathi Raja Chakravarthi, Thenmozhi Durairaj, Balasubramanian Palani, Sajeetha Thavareesan, and Prasanna Kumar Kumaresan. 2025. Overview of the Shared Task on Detecting AI Generated Product Reviews in Dravidian Languages: DravidianLangTech@NAACL 2025. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 123–132, Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico. Association for Computational Linguistics.