SubmissionNumber#=%=#166
FinalPaperTitle#=%=#IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
ShortPaperTitle#=%=#
NumberOfPages#=%=#5
CopyrightSigned#=%=#Mohammad Osoolian
JobTitle#==#
Organization#==#
Abstract#==#This paper outlines our approach to SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes, specifically addressing subtask 1. The study focuses on model fine-tuning using language models, including BERT, GPT-2, and RoBERTa, with the experiment results demonstrating optimal performance with GPT-2. Our system submission achieved a competitive ranking of 17th out of 33 teams in subtask 1, showcasing the effectiveness of the employed methodology in the context of persuasive technique identification within meme texts.
Author{1}{Firstname}#=%=#Mohammad
Author{1}{Lastname}#=%=#Osoolian
Author{1}{Username}#=%=#mohammad_osoolian
Author{1}{Email}#=%=#dsoolian@gmail.com
Author{1}{Affiliation}#=%=#Iran University of Science and Technology
Author{2}{Firstname}#=%=#Erfan
Author{2}{Lastname}#=%=#Moosavi Monazzah
Author{2}{Username}#=%=#erfanmoosavimonazzah
Author{2}{Email}#=%=#erfan.moosavi.monazzah@gmail.com
Author{2}{Affiliation}#=%=#Iran University of Science and Technology
Author{3}{Firstname}#=%=#Sauleh
Author{3}{Lastname}#=%=#Eetemadi
Author{3}{Username}#=%=#sauleh
Author{3}{Email}#=%=#sauleh@iust.ac.ir
Author{3}{Affiliation}#=%=#Iran University of Science and Technology

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