2024
SEMEVAL
SemEval 2024
RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation
Abstract
AbstractCode-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.
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Interdisciplinary Bridge
— Deep Learning and Machine Learning
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Keyword Pioneer
— hindi-english code-mixing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio