SubmissionNumber#=%=#294
FinalPaperTitle#=%=#SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
ShortPaperTitle#=%=#
NumberOfPages#=%=#14
CopyrightSigned#=%=#Shivani
JobTitle#==#
Organization#==#
Abstract#==#We present SemEval-2024 Task 10, a shared task centred on identifying emotions and finding the rationale behind their flips within monolingual English and Hindi-English code-mixed dialogues. This task comprises three distinct subtasks – emotion recognition in conversation for code-mixed dialogues, emotion flip reasoning for code-mixed dialogues, and emotion flip reasoning for English dialogues. Participating systems were tasked to automatically execute one or more of these subtasks. The datasets for these tasks comprise manually annotated conversations focusing on emotions and triggers for emotion shifts.1 A total of 84 participants engaged in this task, with the most adept systems attaining F1-scores of 0.70, 0.79, and 0.76 for the respective subtasks. This paper summarises the results and findings from 24 teams alongside their system descriptions.
Author{1}{Firstname}#=%=#Shivani
Author{1}{Lastname}#=%=#Kumar
Author{1}{Username}#=%=#shivaniku
Author{1}{Email}#=%=#shivaniku@iiitd.ac.in
Author{1}{Affiliation}#=%=#Indraprastha Institute of Information Technology
Author{2}{Firstname}#=%=#Md. Shad
Author{2}{Lastname}#=%=#Akhtar
Author{2}{Username}#=%=#shadakhtar
Author{2}{Email}#=%=#shad.akhtar@gmail.com
Author{2}{Affiliation}#=%=#Indraprastha Institute of Information Technology, Delhi
Author{3}{Firstname}#=%=#Erik
Author{3}{Lastname}#=%=#Cambria
Author{3}{Username}#=%=#cambria.erik
Author{3}{Email}#=%=#cambria@ntu.edu.sg
Author{3}{Affiliation}#=%=#Nanyang Technological University
Author{4}{Firstname}#=%=#Tanmoy
Author{4}{Lastname}#=%=#Chakraborty
Author{4}{Username}#=%=#kgectops
Author{4}{Email}#=%=#chak.tanmoy.iit@gmail.com
Author{4}{Affiliation}#=%=#IIT Delhi

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