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ID: classdistribution
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Task-Aware Representation of Sentences for Generic Text Classification
AbstractState-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem. While effective, this approach suffers …...
Early Stopping Based on Unlabeled Samples in Text Classification
AbstractEarly stopping, which is widely used to prevent overfitting, is generally based on a separate validation set. However, in low resource settings, validation-based stopping can be risky because a small …...