SubmissionNumber#=%=#147
FinalPaperTitle#=%=#Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa
ShortPaperTitle#=%=#
NumberOfPages#=%=#4
CopyrightSigned#=%=#Kriti Singhal
JobTitle#==#Student
Organization#==#Thapar Institute of Engineering and Technology, India
Abstract#==#Legal argument reasoning task in civil procedure is a new NLP task utilizing a dataset from the domain of the U.S. civil procedure. The task aims at identifying whether the solution to a question in the legal domain is correct or not. This paper describes the team "Transformers" submission to the Legal Argument Reasoning Task in Civil Procedure shared task at SemEval-2024 Task 5. We use a BERT-based architecture for the shared task. The highest F1-score score and accuracy achieved was 0.6172 and 0.6531 respectively. We secured the 13th rank in the Legal Argument Reasoning Task in Civil Procedure shared task.
Author{1}{Firstname}#=%=#Kriti
Author{1}{Lastname}#=%=#Singhal
Author{1}{Username}#=%=#kriti_singhal
Author{1}{Email}#=%=#kritisinghal711@gmail.com
Author{1}{Affiliation}#=%=#Thapar Institute of Engineering and Technology
Author{2}{Firstname}#=%=#Jatin
Author{2}{Lastname}#=%=#Bedi
Author{2}{Username}#=%=#jatinbedi
Author{2}{Email}#=%=#jatin.bedi@thapar.edu
Author{2}{Affiliation}#=%=#Thapar University

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