2025
ACL
ACL 2025
zhouyijiang1 at SemEval-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language Models
Abstract
AbstractIn order to effectively predict the speaker’s informing emotion from text fragments, we propose a transfer learning framework based on the BERT pre-training model through deep semantic feature extraction and cascade structure of dynamic weight linear classifier. In the speaker informing emotion prediction task, a 0.70 F1 score is achieved, illustrating the effectiveness of cross-domain emotion recognition.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Keyword Pioneer
— pre-training model
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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
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Core Methods > Classification
Deep Learning > Architectures > Transformers
Deep Learning > Techniques > Pretraining
Natural Language Processing > Applications > Text Classification
Machine Learning > Learning Types > Transfer Learning
Keywords
transfer learning
emotion recognition
linear classifier
pre-trained language model
emotion classification
pre-training model
semantic feature extraction
cascade structure
emotion prediction
pre-training language model
cross-domain emotion recognition
multi-tag detection
speaker informing emotion
multi-tag classification