SubmissionNumber#=%=#115 FinalPaperTitle#=%=#UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Hongyu Guo JobTitle#==# Organization#==# Abstract#==#The goal of Emotion Cause Pair Extraction (ECPE) is to explore the causes of emotion changes and what causes a certain emotion. This paper proposes a three-step learning approach for the task of Textual Emotion-Cause Pair Extraction in Conversations in SemEval-2024 Task 3, named ECSP. We firstly perform data preprocessing operations on the original dataset to construct negative samples. Secondly, we use a pre-trained model to construct token sequence representations with contextual information to obtain emotion prediction. Thirdly, we regard the textual emotion-cause pair extraction task as a machine reading comprehension task, and fine-tune two pre-trained models, RoBERTa and SpanBERT. Our results have achieved good results in the official rankings, ranking 3rd under the strict match with the Strict F1-score of 15.18%, which further shows that our system has a robust performance. Author{1}{Firstname}#=%=#Hongyu Author{1}{Lastname}#=%=#Guo Author{1}{Username}#=%=#chloe_guo Author{1}{Email}#=%=#chloe_guo@uir.edu.cn Author{1}{Affiliation}#=%=#University of International Relations Author{2}{Firstname}#=%=#Xueyao Author{2}{Lastname}#=%=#Zhang Author{2}{Email}#=%=#Zhang_X_Y@uir.edu.cn Author{2}{Affiliation}#=%=#University of International Relations Author{3}{Firstname}#=%=#Yiyang Author{3}{Lastname}#=%=#Chen Author{3}{Email}#=%=#uiryangyc0114@uir.edu.cn Author{3}{Affiliation}#=%=#University of International Relations Author{4}{Firstname}#=%=#Lin Author{4}{Lastname}#=%=#Deng Author{4}{Email}#=%=#denglin@uir.edu.cn Author{4}{Affiliation}#=%=#University of International Relations Author{5}{Firstname}#=%=#Binyang Author{5}{Lastname}#=%=#Li Author{5}{Username}#=%=#beyondlee Author{5}{Email}#=%=#beyondlee1982@gmail.com Author{5}{Affiliation}#=%=#University of International Relations ========== èéáğö