How to choose "Good" Samples for Text Data Augmentation

Understand

Deep learning-based text classification models need abundant labeled data to obtain competitive performance.

• Unfortunately, annotating large-size corpus is time-consuming and laborious.
• To tackle this, multiple researches try to use data augmentation to expand the corpus size.
• However, data augmentation may potentially produce some noisy augmented samples.