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Srijan Bansal
Srijan Bansal
Language Technologies Institute, CMU
Dirección de correo verificada de andrew.cmu.edu
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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
222020
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
222019
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
92021
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
92019
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
72022
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
22023
PEFTDebias: Capturing debiasing information using PEFTs
S Agarwal, AS Veerubhotla, S Bansal
arXiv preprint arXiv:2312.00434, 2023
12023
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
12023
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
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