2025
ACL
ACL 2025
McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Abstract
AbstractIn this paper, we present the results of our SemEval-2025 Emotion Detection Shared Task Track A which focuses on multi-label emotion detection. Our team’s approach leverages prompting GPT-4o, fine-tuning NLLB- LLM2Vec encoder, and an ensemble of these two approaches to solve Track A. Our ensemble method beats the baseline method that fine-tuned RemBERT encoder in 24 of the 28 languages. Furthermore, our results shows that the average performance is much worse for under-resourced languages in the Afro- Asiatic, Niger-Congo and Austronesia with per- formance scores at 50 F1 points and below.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Natural Language Processing
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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, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Understanding > Sentiment Analysis
Natural Language Processing > Resources & Methods > Multilingual NLP
Natural Language Processing > Applications > Sentiment Analysis
Artificial Intelligence > Core AI > Large Language Models
Deep Learning > Learning Types > Multi-Label Classification