Papers by Bharathi Raja Chakravarthi
From Laughter to Inequality: Annotated Dataset for Misogyny Detection in Tamil and Malayalam Memes (2024.lrec-main)
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Rahul Ponnusamy, Kathiravan Pannerselvam, Saranya R, Prasanna Kumar Kumaresan, Sajeetha Thavareesan, Bhuvaneswari S, Anshid K.a, Susminu S Kumar, Paul Buitelaar, Bharathi Raja Chakravarthi
| Challenge: | a new form of memes has emerged to combat misogyny and harmful stereotypes . authors present a dataset to analyze online misogamy in Tamil and Malayalam communities . |
| Approach: | They propose to create an annotated dataset with detailed annotation guidelines to analyze online misogyny within Tamil and Malayalam-speaking communities. |
| Outcome: | The proposed dataset reveals the world of gender bias and stereotypes in Tamil and Malayalam-speaking communities. |
Dataset for Identification of Homophobia and Transphobia for Telugu, Kannada, and Gujarati (2024.lrec-main)
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| Challenge: | There has been a rise in homophobic and transphobic content targeting LGBT+ individuals on social media platforms. |
| Approach: | They propose to use a dataset to automatically identify homophobic and transphobic content within comments collected from YouTube for three languages. |
| Outcome: | The proposed dataset will identify homophobic and transphobic content within comments collected from YouTube in Telugu, Kannada, and Gujarati. |
Unsupervised Deep Language and Dialect Identification for Short Texts (2020.coling-main)
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| Challenge: | Existing methods for identifying closely related short texts are unsupervised . however, performance is poor for unsupervised methods for short texts . |
| Approach: | They propose a method which can learn sentence embeddings and cluster assignments from short texts. |
| Outcome: | The proposed method outperforms state-of-the-art methods in supervised settings . it can learn sentence embeddings and cluster assignments from short texts . |
Thirumurai: A Large Dataset of Tamil Shaivite Poems and Classification of Tamil Pann (2022.lrec-1)
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Shankar Mahadevan, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Prabakaran Chandran, Ruba Priyadharshini, Sangeetha S, Bharathi Raja Chakravarthi
| Challenge: | Thirumurai is a collection of Tamil Shaivite poems dating back to the Hindu revival period . a large dataset containing all the Thirumuru poems is under-resourced . |
| Approach: | They propose to use transformers to classify the Tamil Pann and author of each poem . they propose to train models on petabytes of data, such as the common crawl data . |
| Outcome: | The proposed dataset contains all the Thirumurai poems and classifies the Pann and author of each poem using transformer based architectures. |