Santhiya Pandiyan


2024

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Overview of the Second Shared Task on Fake News Detection in Dravidian Languages: DravidianLangTech@EACL 2024
Malliga Subramanian | Bharathi Raja Chakravarthi | Kogilavani Shanmugavadivel | Santhiya Pandiyan | Prasanna Kumar Kumaresan | Balasubramanian Palani | Premjith B | Vanaja K | Mithunja S | Devika K | Hariprasath S.b | Haripriya B | Vigneshwar E
Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages

The rise of online social media has revolutionized communication, offering users a convenient way to share information and stay updated on current events. However, this surge in connectivity has also led to the proliferation of misinformation, commonly known as fake news. This misleading content, often disguised as legitimate news, poses a significant challenge as it can distort public perception and erode trust in reliable sources. This shared task consists of two subtasks such as task 1 and task 2. Task 1 aims to classify a given social media text into original or fake. The goal of the FakeDetect-Malayalam task2 is to encourage participants to develop effective models capable of accurately detecting and classifying fake news articles in the Malayalam language into different categories like False, Half True, Mostly False, Partly False, and Mostly True. For this shared task, 33 participants submitted their results.

2023

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Overview of the shared task on Fake News Detection from Social Media Text
Malliga S | Bharathi Raja Chakravarthi | Kogilavani S V | Santhiya Pandiyan | Prasanna Kumar Kumaresan | Balasubramanian Palani | Muskaan Singh
Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages

This document contains the instructions for preparing a manuscript for the proceedings of RANLP 2023. The document itself conforms to its own specifications and is therefore an example of what your manuscript should look like. These instructions should be used for both papers submitted for review and for final versions of accepted papers. Authors are asked to conform to all the directions reported in this document.

2022

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Findings of the Shared Task on Emotion Analysis in Tamil
Anbukkarasi Sampath | Thenmozhi Durairaj | Bharathi Raja Chakravarthi | Ruba Priyadharshini | Subalalitha Cn | Kogilavani Shanmugavadivel | Sajeetha Thavareesan | Sathiyaraj Thangasamy | Parameswari Krishnamurthy | Adeep Hande | Sean Benhur | Kishore Ponnusamy | Santhiya Pandiyan
Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages

This paper presents the overview of the shared task on emotional analysis in Tamil. The result of the shared task is presented at the workshop. This paper presents the dataset used in the shared task, task description, and the methodology used by the participants and the evaluation results of the submission. This task is organized as two Tasks. Task A is carried with 11 emotions annotated data for social media comments in Tamil and Task B is organized with 31 fine-grained emotion annotated data for social media comments in Tamil. For conducting experiments, training and development datasets were provided to the participants and results are evaluated for the unseen data. Totally we have received around 24 submissions from 13 teams. For evaluating the models, Precision, Recall, micro average metrics are used.