Search Results for author: Sonqiao Han

Found 1 papers, 0 papers with code

What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification

no code implementations1 Sep 2021 Biyang Guo, Sonqiao Han, Hailiang Huang

Text augmentation techniques are widely used in text classification problems to improve the performance of classifiers, especially in low-resource scenarios.

Text Augmentation text-classification +1

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