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Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings
Data augmentation has the potential to improve the performance of machine learning models by increasing the amount of training data available.
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling
Unlike previous work, our model does not require pre-training or fine-tuning on additional tasks, beyond using off-the-shelf (static or contextual) embeddings and supervision.
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