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It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data.

, , , , , , and . APSIPA ASC, page 1972-1977. IEEE, (2023)

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Stance Detection in Hindi-English Code-Mixed Data., , , , and . COMAD/CODS, page 359-360. ACM, (2020)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)Human recognition based on oculo-motion characteristics., , and . AFRICON, page 1-5. IEEE, (2013)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)Code-Mixed NLG: Resources, Metrics, and Challenges., and . COMAD/CODS, page 328-332. ACM, (2022)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)Challenges and Considerations with Code-Mixed NLP for Multilingual Societies., and . CoRR, (2021)