SubmissionNumber#=%=#260 FinalPaperTitle#=%=#AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Mohammad Mahdi Abootorabi JobTitle#==# Organization#==# Abstract#==#In this study, we introduce a solution to the SemEval 2024 Task 10 on subtask 1, dedicated to Emotion Recognition in Conversation (ERC) in code-mixed Hindi-English conversations. ERC in code-mixed conversations presents unique challenges, as existing models are typically trained on monolingual datasets and may not perform well on code-mixed data. To address this, we propose a series of models that incorporate both the previous and future context of the current utterance, as well as the sequential information of the conversation. To facilitate the processing of code-mixed data, we developed a Hinglish-to-English translation pipeline to translate the code-mixed conversations into English. We designed four different base models, each utilizing powerful pre-trained encoders to extract features from the input but with varying architectures. By ensembling all of these models, we developed a final model that outperforms all other baselines. Author{1}{Firstname}#=%=#Mohammad Mahdi Author{1}{Lastname}#=%=#Abootorabi Author{1}{Username}#=%=#aboots Author{1}{Email}#=%=#mahdi.abootorabi@sharif.edu Author{1}{Affiliation}#=%=#Sharif University of Technology Author{2}{Firstname}#=%=#Nona Author{2}{Lastname}#=%=#Ghazizadeh Author{2}{Username}#=%=#nonaghazizadeh Author{2}{Email}#=%=#nona.ghazizadeh@sharif.edu Author{2}{Affiliation}#=%=#Sharif University of Technology Author{3}{Firstname}#=%=#Seyed Arshan Author{3}{Lastname}#=%=#Dalili Author{3}{Username}#=%=#arshandalili Author{3}{Email}#=%=#arshandalili@gmail.com Author{3}{Affiliation}#=%=#Sharif University of Technology / Language Processing and Digital Humanities Laboratory Author{4}{Firstname}#=%=#Alireza Author{4}{Lastname}#=%=#Ghahramani Kure Author{4}{Username}#=%=#qre Author{4}{Email}#=%=#a.ghahramani@sharif.edu Author{4}{Affiliation}#=%=#sharif university of technology Author{5}{Firstname}#=%=#Mahshid Author{5}{Lastname}#=%=#Dehghani Author{5}{Username}#=%=#mahshiddehghani Author{5}{Email}#=%=#mahshid.dehghani@sharif.edu Author{5}{Affiliation}#=%=#DH-NLP Lab, Computer Engineering Department, Sharif University of Technology, Tehran, Iran. Author{6}{Firstname}#=%=#Ehsaneddin Author{6}{Lastname}#=%=#Asgari Author{6}{Username}#=%=#asgari Author{6}{Email}#=%=#asgari@berkeley.edu Author{6}{Affiliation}#=%=#University of California, Berkeley ========== èéáğö