IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations

Mehrzad Tareh, Aydin Mohandesi, Ebrahim Ansari


Abstract
In this paper, we detail the IASBS team’s approach and findings from participating in SemEval-2024 Task 10, “Emotion Discovery and Reasoning in Hindi-English Code-mixed Conversations (EDiReF).” This task encompasses three critical subtasks: Emotion Recognition in Conversation (ERC), and Emotion Flip Reasoning (EFR) in both Hindi-English code-mixed and English dialogues. Our methodology integrates advanced NLP and machine learning techniques, focusing on the unique challenges of code-mixing, such as linguistic diversity and shifts in emotional context. By implementing a robust framework that includes data preprocessing, and feature engineering using models like GPT-4 and DistilBERT, we extend our analysis beyond mere emotion identification to explore the triggers behind emotion flips. This endeavor not only achieved third place on the leaderboard, demonstrating a high proficiency in emotion and flip detection with an F1-Score of 0.70 but also significantly contributed to the advancement of emotional AI. Our findings offer valuable insights into the complex interplay of emotions in communication, showcasing the potential for enhancing applications across various domains, from social media analytics to healthcare, and underscore the importance of understanding emotional dynamics in code-mixed conversations for future research and practical applications.
Anthology ID:
2024.semeval-1.179
Original:
2024.semeval-1.179v1
Version 2:
2024.semeval-1.179v2
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1229–1238
Language:
URL:
https://aclanthology.org/2024.semeval-1.179
DOI:
10.18653/v1/2024.semeval-1.179
Bibkey:
Cite (ACL):
Mehrzad Tareh, Aydin Mohandesi, and Ebrahim Ansari. 2024. IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1229–1238, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations (Tareh et al., SemEval 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2024.semeval-1.179.pdf
Supplementary material:
 2024.semeval-1.179.SupplementaryMaterial.zip
Supplementary material:
 2024.semeval-1.179.SupplementaryMaterial.txt
Supplementary material:
 2024.semeval-1.179.SupplementaryMaterial.zip