2025
ACL
ACL 2025
ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer Models
Abstract
AbstractWe present our submission to Task 11, Bridging the Gap in Text-Based Emotion Detection, of the 19th International Workshop on Semantic Evaluation (SemEval) 2025. We participated in track A, multi-label emotion detection, in both German and English. Our approach is based on fine-tuning transformer models for each language, and our models achieve a Macro F1 of 0.75 and 0.62 for English and German respectively. Furthermore, we analyze the data available for training to gain insight into the model predictions.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning
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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
Artificial Intelligence > Core AI > Multimodal Learning
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Core Methods > Classification
Machine Learning > Learning Types > Weakly Supervised Learning
Machine Learning > Application Areas > Data Augmentation
Deep Learning > Architectures > Transformers