AltAug
AltAug is a data augmentation technique primarily used in the field of natural language processing. It aims to generate diverse and realistic text data by applying a series of carefully selected transformations to existing text samples. The core idea behind AltAug is to introduce variations that preserve the original meaning and intent of the text while creating new examples for training machine learning models.
The specific augmentations performed by AltAug can vary, but they often include operations such as synonym
AltAug is particularly useful in scenarios where obtaining a large and varied dataset is challenging or expensive.