SubmissionNumber#=%=#104
FinalPaperTitle#=%=#UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers
ShortPaperTitle#=%=#
NumberOfPages#=%=#7
CopyrightSigned#=%=#José Antonio García Díaz
JobTitle#==#
Organization#==#Universidad de Murcia
Abstract#==#These notes describe the participation of the UMUTeam in EDiReF, the 10th shared task of SemEval 2024. The goal is to develop systems for detecting and inferring emotional changes in the conversation. The task was divided into three related subtasks: (i) Emotion Recognition in Conversation (ERC) in Hindi-English code-mixed conversations, (ii) Emotion Flip Reasoning (EFR) in Hindi-English code-mixed conversations, and (iii) EFR in English conversations. We were involved in all three and our approach is based on a fine-tuning approach with different pre-trained models. After evaluation, we found BERT to be the best model for ERC and EFR and with this model we achieved the thirteenth best result with an F1 score of 43% in Subtask 1, the sixth best in Subtask 2 with an F1 score of 26% and the fifteenth best in Subtask 3 with an F1 score of 22%.
Author{1}{Firstname}#=%=#ronghao
Author{1}{Lastname}#=%=#pan
Author{1}{Username}#=%=#ronghaopan
Author{1}{Email}#=%=#ronghao.pan@um.es
Author{1}{Affiliation}#=%=#Universidad de Murcia
Author{2}{Firstname}#=%=#José Antonio
Author{2}{Lastname}#=%=#García-Díaz
Author{2}{Username}#=%=#joseagd
Author{2}{Email}#=%=#joseantonio.garcia8@um.es
Author{2}{Affiliation}#=%=#Universidad de Murcia
Author{3}{Firstname}#=%=#Diego
Author{3}{Lastname}#=%=#Roldán
Author{3}{Email}#=%=#droldan@dantia.es
Author{3}{Affiliation}#=%=#DANTIA Tecnología S.L.
Author{4}{Firstname}#=%=#Rafael
Author{4}{Lastname}#=%=#Valencia-García
Author{4}{Username}#=%=#valencia
Author{4}{Email}#=%=#valencia@um.es
Author{4}{Affiliation}#=%=#Universidad de Murcia

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