Papers with MTV data augmentation

1 papers
Text Augmentation in a Multi-Task View (2021.eacl-main)

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Challenge: a multi-task view of data augmentation allows for a more robust performance than traditional augmentation.
Approach: They propose a multi-task view of data augmentation where original and augmented samples are weighted substantively during training.
Outcome: The proposed model improves on three benchmark text classification datasets.

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