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Found 3 papers, 1 papers with code
One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification
Knowledge distillation is an effective method to transfer knowledge from a large pre-trained teacher model to a compacted student model.
Adversarial Attention Modeling for Multi-dimensional Emotion Regression
In this paper, we propose a neural network-based approach, namely Adversarial Attention Network, to the task of multi-dimensional emotion regression, which automatically rates multiple emotion dimension scores for an input text.
Corpus Fusion for Emotion Classification
Machine learning-based methods have obtained great progress on emotion classification.
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