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Sample Selection for Data Augmentation in Natural Language Processing

Deep learning-based text classification models need abundant labeled data to obtain competitive performance. To tackle this, multiple researches try to use data augmentation to expand the corpus size.

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Cite this as

Xiaotian Lin, Nankai Lin, Yingwen Fu, Ziyu Yang, Shengyi Jiang (2024). Dataset: Sample Selection for Data Augmentation in Natural Language Processing. https://doi.org/10.57702/1hodepkl

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2302.00894
Author	Xiaotian Lin
More Authors	Nankai Lin Yingwen Fu Ziyu Yang Shengyi Jiang