SubmissionNumber#=%=#158
FinalPaperTitle#=%=#Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations
ShortPaperTitle#=%=#
NumberOfPages#=%=#10
CopyrightSigned#=%=#Seyedeh Fatemeh Ebrahimi
JobTitle#==#Researcher
Organization#==#Sharif University of Technology, Tehran, Iran
Abstract#==#This paper explores semantic textual relatedness (STR) using fine-tuning techniques on the RoBERTa transformer model, focusing on sentence-level STR within Track A (Supervised). The study evaluates the effectiveness of this approach across different languages, with promising results in English and Spanish but encountering challenges in Arabic.
Author{1}{Firstname}#=%=#Seyedeh Fatemeh
Author{1}{Lastname}#=%=#Ebrahimi
Author{1}{Username}#=%=#seyedehebrahimi
Author{1}{Email}#=%=#sfati.ebrahimi@sharif.edu
Author{1}{Affiliation}#=%=#sharif university of technology
Author{2}{Firstname}#=%=#Karim
Author{2}{Lastname}#=%=#Akhavan Azari
Author{2}{Email}#=%=#karim.akhavan@sharif.edu
Author{2}{Affiliation}#=%=#Sharif university of technology
Author{3}{Firstname}#=%=#Amirmasoud
Author{3}{Lastname}#=%=#Iravani
Author{3}{Email}#=%=#a.iravani@mail.um.ac.ir
Author{3}{Affiliation}#=%=#Ferdowsi University of Mashhad
Author{4}{Firstname}#=%=#Hadi
Author{4}{Lastname}#=%=#Alizadeh
Author{4}{Email}#=%=#alizadeh.hadi08@gmail.com
Author{4}{Affiliation}#=%=#Iran Broadcasting University
Author{5}{Firstname}#=%=#Zeinab Sadat
Author{5}{Lastname}#=%=#Taghavi
Author{5}{Username}#=%=#zeinabtaghavi
Author{5}{Email}#=%=#zeinabtaghavi1377@gmail.com
Author{5}{Affiliation}#=%=#MSc student
Author{6}{Firstname}#=%=#Hossein
Author{6}{Lastname}#=%=#Sameti
Author{6}{Username}#=%=#sameti
Author{6}{Email}#=%=#sameti@sharif.edu
Author{6}{Affiliation}#=%=#Sharif University of Technology

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