FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations

Zuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, Shankar Biradar


Abstract
This paper reports on an innovative approach to Emotion Recognition in Conversation and Emotion Flip Reasoning for the SemEval-2024 competition with a specific focus on analyzing Hindi-English code-mixed language. By integrating Large Language Models (LLMs) with Instruction-based Fine-tuning and Quantized Low-Rank Adaptation (QLoRA), this study introduces innovative techniques like Sentext-height and advanced prompting strategies to navigate the intricacies of emotional analysis in code-mixed conversational data. The results of the proposed work effectively demonstrate its ability to overcome label bias and the complexities of code-mixed languages. Our team achieved ranks of 5, 3, and 3 in tasks 1, 2, and 3 respectively. This study contributes valuable insights and methods for enhancing emotion recognition models, underscoring the importance of continuous research in this field.
Anthology ID:
2024.semeval-1.107
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:
745–756
Language:
URL:
https://aclanthology.org/2024.semeval-1.107
DOI:
10.18653/v1/2024.semeval-1.107
Bibkey:
Cite (ACL):
Zuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, and Shankar Biradar. 2024. FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 745–756, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations (Shaik et al., SemEval 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2024.semeval-1.107.pdf
Supplementary material:
 2024.semeval-1.107.SupplementaryMaterial.txt