TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations
Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, Milton R S
Abstract
Emotion Recognition in Conversation (ERC) in the context of code-mixed Hindi-English interactions is a subtask addressed in SemEval-2024 as Task 10. We made our maiden attempt to solve the problem using natural language processing, machine learning and deep learning techniques, that perform well in properly assigning emotions to individual utterances from a predefined collection. The use of well-proven classifier such as Long Short Term Memory networks improve the model’s efficacy than the BERT and Glove based models. How-ever, difficulties develop in the subtle arena of emotion-flip reasoning in multi-party discussions, emphasizing the importance of specialized methodologies. Our findings shed light on the intricacies of emotion dynamics in code-mixed languages, pointing to potential areas for further research and refinement in multilingual understanding.- Anthology ID:
- 2024.semeval-1.109
- 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:
- 763–769
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.109
- DOI:
- Cite (ACL):
- Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, and Milton R S. 2024. TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 763–769, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations (V et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.semeval-1.109.pdf