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What BERTs and GPTs know about your brand? Probing contextual language models for affect associations.

, , , , and . DeeLIO@NAACL-HLT, page 119-128. Association for Computational Linguistics, (2021)

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Stance Detection in Hindi-English Code-Mixed Data., , , , and . COMAD/CODS, page 359-360. ACM, (2020)Human recognition based on oculo-motion characteristics., , and . AFRICON, page 1-5. IEEE, (2013)MUTANT: A Multi-sentential Code-mixed Hinglish Dataset., , and . EACL (Findings), page 732-741. Association for Computational Linguistics, (2023)HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text., and . Eval4NLP, page 200-208. Association for Computational Linguistics, (2021)PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger., and . CoRR, (2020)Exploring real domain problems on the second generation neural network., , and . Int. J. Adv. Intell. Paradigms, 26 (2): 143-157 (2023)MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation., , , and . Eval4NLP, page 123-132. Association for Computational Linguistics, (2021)Understanding the Political Inclination of WhatsApp Chats., , , , and . COMAD/CODS, page 361-362. ACM, (2020)A Dominance of the Channel Capacity in Load Balancing of Software Defined Network., and . Wireless Personal Communications, 112 (3): 1859-1873 (2020)LBR-GWO: Layered based routing approach using grey wolf optimization algorithm in wireless sensor networks., , , and . Concurr. Comput. Pract. Exp., (2022)