SubmissionNumber#=%=#275
FinalPaperTitle#=%=#IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
ShortPaperTitle#=%=#
NumberOfPages#=%=#10
CopyrightSigned#=%=#Ashutosh Modi
JobTitle#==#
Organization#==#IIT Kanpur, Kanpur 208016, U.P., India
Abstract#==#This paper presents our approach for the SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. We propose a transformer-based speaker-centric model for the Emotion Flip Reasoning (EFR) task and a masked-memory network along with a speaker participation vector for the Emotion Recognition in Conversations (ERC) task. We propose a Probable Trigger Zone, which is more likely to contain the utterances causing the emotion of a speaker to flip. In EFR, sub-task 3, the proposed approach archives a 5.9 (F1 score) improvement over the provided task baseline. The ablation study results highlight the significance of various design choices in the proposed method.
Author{1}{Firstname}#=%=#Shubham
Author{1}{Lastname}#=%=#Patel
Author{1}{Username}#=%=#studentshubham23
Author{1}{Email}#=%=#studentshubham23@gmail.com
Author{1}{Affiliation}#=%=#IIT Kanpur
Author{2}{Firstname}#=%=#Divyaksh
Author{2}{Lastname}#=%=#Shukla
Author{2}{Username}#=%=#divyaksh
Author{2}{Email}#=%=#divyakshs23@iitk.ac.in
Author{2}{Affiliation}#=%=#Indian Institute of Technology, Kanpur
Author{3}{Firstname}#=%=#Ashutosh
Author{3}{Lastname}#=%=#Modi
Author{3}{Username}#=%=#ashutosh
Author{3}{Email}#=%=#ashutoshm@cse.iitk.ac.in
Author{3}{Affiliation}#=%=#Indian Institute of Technology Kanpur

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