2025
ACL
ACL 2025
UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News
Abstract
AbstractThis paper presents our participation in SemEval task 11, which consists of emotion recognition in sentences written in multiple languages. We use in-context learning and fine-tuning methods to teach LLMs how to predict labels for Track A, Track B and Track C. The best results depends on track and language predicted.
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Interdisciplinary Bridge
— Deep Learning and Machine 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
Machine Learning > Learning Types > Large Language Models
Deep Learning > Learning Types > In-Context Learning