SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations
Antony Rajesh, Supriya Abirami, Aravindan Chandrabose, Senthil Kumar
Abstract
This paper presents a transformer-based model for recognizing emotions in Hindi-English code-mixed conversations, adhering to the SemEval task constraints. Leveraging BERT-based transformers, we fine-tune pre-trained models on the dataset, incorporating tokenization and attention mechanisms. Our approach achieves competitive performance (weighted F1-score of 0.4), showcasing the effectiveness of BERT in nuanced emotion analysis tasks within code-mixed conversational contexts.- Anthology ID:
- 2024.semeval-1.83
- 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:
- 553–557
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.83
- DOI:
- Cite (ACL):
- Antony Rajesh, Supriya Abirami, Aravindan Chandrabose, and Senthil Kumar. 2024. SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 553–557, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations (Rajesh et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.semeval-1.83.pdf