Handling bias in toxic speech detection: A survey T Garg, S Masud, T Suresh, T Chakraborty ACM Computing Surveys 55 (13s), 1-32, 2023 | 49 | 2023 |
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes S Sharma, T Suresh, A Kulkarni, H Mathur, P Nakov, MS Akhtar, ... Proceedings of the Workshop on Combating Online Hostile Posts in Regional …, 2022 | 16 | 2022 |
What do you meme? generating explanations for visual semantic role labelling in memes S Sharma, S Agarwal, T Suresh, P Nakov, MS Akhtar, T Chakraborty Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9763-9771, 2023 | 10 | 2023 |
Predicting hate intensity of twitter conversation threads Q Meng, T Suresh, RKW Lee, T Chakraborty Knowledge-Based Systems 275, 110644, 2023 | 7 | 2023 |
Characterizing the entities in harmful memes: Who is the hero, the villain, the victim? S Sharma, A Kulkarni, T Suresh, H Mathur, P Nakov, MS Akhtar, ... arXiv preprint arXiv:2301.11219, 2023 | 7 | 2023 |
Counseling summarization using mental health knowledge guided utterance filtering A Srivastava, T Suresh, SP Lord, MS Akhtar, T Chakraborty Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 7 | 2022 |
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer A Sengupta, T Suresh, MS Akhtar, T Chakraborty arXiv preprint arXiv:2204.12753, 2022 | 1 | 2022 |
A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer T Suresh, A Sengupta, MS Akhtar, T Chakraborty IEEE Transactions on Computational Social Systems, 2024 | | 2024 |