| Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection S Bansal, V Garimella, A Suhane, J Patro, A Mukherjee arXiv preprint arXiv:2005.02295, 2020 | 22 | 2020 |
| A deep-learning framework to detect sarcasm targets J Patro, S Bansal, A Mukherjee Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 21 | 2019 |
| Debiasing multilingual word embeddings: A case study of three indian languages S Bansal, V Garimella, A Suhane, A Mukherjee Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 27-34, 2021 | 9 | 2021 |
| Can Siamese Networks help in stance detection? T Santosh, S Bansal, A Saha Proceedings of the ACM India joint international conference on data science …, 2019 | 9 | 2019 |
| R3: refined retriever-reader pipeline for multidoc2dial S Bansal, S Tripathi, S Agarwal, S Gururaja, AS Veerubhotla, R Dutt, ... Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and …, 2022 | 7 | 2022 |
| Language-agnostic transformers and assessing ChatGPT-based query rewriting for multilingual document-grounded QA S Gowriraj, SD Tiwari, M Potnis, S Bansal, T Mitamura, E Nyberg Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and …, 2023 | 2 | 2023 |
| PEFTDebias: Capturing debiasing information using PEFTs S Agarwal, AS Veerubhotla, S Bansal arXiv preprint arXiv:2312.00434, 2023 | 1 | 2023 |
| Few-shot Unified Question Answering: Tuning Models or Prompts? S Bansal, S Yavuz, B Pang, M Bhat, Y Zhou arXiv preprint arXiv:2305.14569, 2023 | 1 | 2023 |
| PRO-CS: An Instance-Based Prompt Composition Technique for Code-Switched Tasks S Bansal, S Tripathi, S Agarwal, T Mitamura, E Nyberg Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
Animesh MukherjeeProfessor of Computer Science, IIT Kharagpur, Distinguished Member, ACMVerified email at cse.iitkgp.ac.in
