SubmissionNumber#=%=#172
FinalPaperTitle#=%=#PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
ShortPaperTitle#=%=#
NumberOfPages#=%=#8
CopyrightSigned#=%=#Kseniia
JobTitle#==#
Organization#==#
Abstract#==#In this paper, we present our submission to the SemEval-2023 Task 3 "The Competition of Multimodal Emotion Cause Analysis in Conversations'',  focusing on extracting emotion-cause pairs from dialogs. Specifically, our approach relies on combining fine-tuned GPT-3.5 for emotion classification and using a BiLSTM-based neural network to detect causes. We score 2nd in the ranking for Subtask 1, demonstrating the effectiveness of our approach through one of the highest weighted-average proportional F1 scores recorded at 0.264.
Author{1}{Firstname}#=%=#Roman
Author{1}{Lastname}#=%=#Kazakov
Author{1}{Username}#=%=#sachertort
Author{1}{Email}#=%=#romankazakov.krm@gmail.com
Author{1}{Affiliation}#=%=#Mohamed bin Zayed University of Artificial Intelligence
Author{2}{Firstname}#=%=#Kseniia
Author{2}{Lastname}#=%=#Petukhova
Author{2}{Username}#=%=#kpetyxova
Author{2}{Email}#=%=#kapetukhova@gmail.com
Author{2}{Affiliation}#=%=#MBZUAI
Author{3}{Firstname}#=%=#Ekaterina
Author{3}{Lastname}#=%=#Kochmar
Author{3}{Username}#=%=#ekochmar
Author{3}{Email}#=%=#ekaterina.kochmar@gmail.com
Author{3}{Affiliation}#=%=#MBZUAI

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