Multi-modal sarcasm detection and humor classification in code-mixed conversations M Bedi, S Kumar, MS Akhtar, T Chakraborty IEEE Transactions on Affective Computing 14 (2), 1363-1375, 2021 | 74 | 2021 |
Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer S Kumar, A Shrimal, MS Akhtar, T Chakraborty Knowledge-Based Systems, 108112, 2022 | 27 | 2022 |
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues S Kumar, A Kulkarni, MS Akhtar, T Chakraborty https://aclanthology.org/2022.acl-long.411/, 2022 | 26 | 2022 |
SemEval 2024--Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF) S Kumar, MS Akhtar, E Cambria, T Chakraborty arXiv preprint arXiv:2402.18944, 2024 | 22 | 2024 |
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues S Kumar, S Ramaneswaran, MS Akhtar, T Chakraborty arXiv preprint arXiv:2310.13080, 2023 | 19 | 2023 |
Emotion Flip Reasoning in Multiparty Conversations S Kumar, S Dudeja, MS Akhtar, T Chakraborty IEEE Transactions on Artificial Intelligence 5 (3), 1339-1348, 2023 | 13 | 2023 |
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues S Kumar, I Mondal, MS Akhtar, T Chakraborty Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12986 …, 2023 | 9 | 2023 |
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems S Kumar, S Bhatia, M Aggarwal, T Chakraborty arXiv preprint arXiv:2307.07255, 2023 | 2 | 2023 |
Literature mining discerns latent disease–gene relationships P Rai, A Jain, S Kumar, D Sharma, N Jha, S Chawla, A Raj, A Gupta, ... Bioinformatics 40 (4), btae185, 2024 | 1 | 2024 |
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations S Kumar, R Gupta, MS Akhtar, T Chakraborty Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study PK Adhikary, A Srivastava, S Kumar, SM Singh, P Manuja, JK Gopinath, ... arXiv preprint arXiv:2402.19052, 2024 | | 2024 |
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues S Kumar, T Chakraborty arXiv preprint arXiv:2401.12995, 2024 | | 2024 |
Understanding and explaining affective traits in english and code-mixed conversations S Kumar, T Chakraborty IIIT-Delhi, 2024 | | 2024 |