Data Augmentation[1] (DA) has been widely recognized as a successful method to get better results by making our dataset bigger. Computer Vision has been the biggest field to benefit from DA, but now we are starting to see the need for it in other specialties like Natural Language Processing (NLP). In this session, we will discuss different DA techniques for NLP.

[1]: https://en.wikipedia.org/wiki/Data_augmentation

Elyes Manai is a Google Developer Expert in Machine Learning as well as an AI teacher and consultant.