SubmissionNumber#=%=#225
FinalPaperTitle#=%=#UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#Neng Wan, Steven Au, Esha Ubale and Decker Krogh
JobTitle#==#Student
Organization#==#UCSC
Abstract#==#We describe SemEval-2024 Task 10: EDiReF consisting of three sub-tasks involving emotion in conversation across Hinglish code-mixed and English datasets. Subtasks include classification of speaker emotion in multiparty conversations (Emotion Recognition in Conversation) and reasoning around shifts in speaker emotion state (Emotion Flip Reasoning). We deployed a BERT model for emotion recognition and two GRU-based models for emotion flip. Our model achieved F1 scores of 0.45, 0.79, and 0.68 for subtasks 1, 2, and 3, respectively.
Author{1}{Firstname}#=%=#Neng
Author{1}{Lastname}#=%=#Wan
Author{1}{Username}#=%=#nengwan
Author{1}{Email}#=%=#wanneng19940620@gmail.com
Author{1}{Affiliation}#=%=#University of California, Santa Cruz
Author{2}{Firstname}#=%=#Steven
Author{2}{Lastname}#=%=#Au
Author{2}{Username}#=%=#stevenau
Author{2}{Email}#=%=#sttau@ucsc.edu
Author{2}{Affiliation}#=%=#UCSC
Author{3}{Firstname}#=%=#Esha
Author{3}{Lastname}#=%=#Ubale
Author{3}{Username}#=%=#eshaubale
Author{3}{Email}#=%=#eubale@ucsc.edu
Author{3}{Affiliation}#=%=#Student at UC Santa Cruz
Author{4}{Firstname}#=%=#Decker
Author{4}{Lastname}#=%=#Krogh
Author{4}{Username}#=%=#deckerkrogh
Author{4}{Email}#=%=#dkrogh@ucsc.edu
Author{4}{Affiliation}#=%=#UCSC

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