AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations
Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Alireza Ghahramani Kure, Mahshid Dehghani, Ehsaneddin Asgari
Abstract
In this study, we introduce a solution to the SemEval 2024 Task 10 on subtask 1, dedicated to Emotion Recognition in Conversation (ERC) in code-mixed Hindi-English conversations. ERC in code-mixed conversations presents unique challenges, as existing models are typically trained on monolingual datasets and may not perform well on code-mixed data. To address this, we propose a series of models that incorporate both the previous and future context of the current utterance, as well as the sequential information of the conversation. To facilitate the processing of code-mixed data, we developed a Hinglish-to-English translation pipeline to translate the code-mixed conversations into English. We designed four different base models, each utilizing powerful pre-trained encoders to extract features from the input but with varying architectures. By ensembling all of these models, we developed a final model that outperforms all other baselines.- Anthology ID:
- 2024.semeval-1.244
- 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:
- 1704–1710
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.244
- DOI:
- Cite (ACL):
- Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Alireza Ghahramani Kure, Mahshid Dehghani, and Ehsaneddin Asgari. 2024. AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1704–1710, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations (Abootorabi et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.244.pdf