Abstract
Code-mixed emotion recognition constitutes a challenge for NLP research due to the text’s deviation from the traditional grammatical structure of the original languages. This paper describes the system submitted by the RACAI Team for the SemEval 2024 Task 10 - EDiReF subtasks 1: Emotion Recognition in Conversation (ERC) in Hindi-English code-mixed conversations. We propose a system that combines a transformer-based model with two simple neural networks.- Anthology ID:
- 2024.semeval-1.149
- 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:
- 1032–1037
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.149
- DOI:
- Cite (ACL):
- Sara Niță and Vasile Păiș. 2024. RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1032–1037, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation (Niță & Păiș, SemEval 2024)
- PDF:
- https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.149.pdf