Text Data Augmentation for the Korean Language

Data augmentation (DA) is a universal technique to reduce overfitting and improve the robustness of machine learning models by increasing the quantity and variety of the training dataset. Although data augmentation is essential in vision tasks, it is rarely applied to text datasets since it is less...

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Bibliographic Details
Main Authors: Kim, J. (Author), Lee, C. (Author), Vu, D.T (Author), Yu, G. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher