SubmissionNumber#=%=#121
FinalPaperTitle#=%=#BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation
ShortPaperTitle#=%=#
NumberOfPages#=%=#5
CopyrightSigned#=%=#Dilip Venkatesh
JobTitle#==#
Organization#==#
Abstract#==#Emotion Recognition in Conversation (ERC)
aims to assign an emotion to a dialogue in a
conversation between people. The first subtask
of EDiReF shared task aims to assign an emo-
tions to a Hindi-English code mixed conversa-
tion. For this, our team proposes a system to
identify the emotion based on fine-tuning large
language models on the MaSaC dataset. For
our study we have fine tuned 2 LLMs BERT
and Llama 2 to perform sequence classification
to identify the emotion of the text.
Author{1}{Firstname}#=%=#Dilip
Author{1}{Lastname}#=%=#Venkatesh
Author{1}{Username}#=%=#dipsivenkatesh
Author{1}{Email}#=%=#dipsivenkatesh@gmail.com
Author{1}{Affiliation}#=%=#BITS Pilani
Author{2}{Firstname}#=%=#Pasunti
Author{2}{Lastname}#=%=#Prasanjith
Author{2}{Email}#=%=#pasunti.prasanjith@pilani.bits-pilani.ac.in
Author{2}{Affiliation}#=%=#BITS Pilani
Author{3}{Firstname}#=%=#Yashvardhan
Author{3}{Lastname}#=%=#Sharma
Author{3}{Email}#=%=#yash@pilani.bits-pilani.ac.in
Author{3}{Affiliation}#=%=#BITS Pilani

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