Claude Coulombe at May 21, 2019 event of montrealml.dev
Title: Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs
Summary: In natural language processing, it is common to find oneself with far too little data to train a deep model. This “Big Data wall” represents a challenge for minority language communities, organizations, laboratories and companies that compete with the web GAFAM web giants. In this presentation we will discuss various simple, practical and robust text data augmentation techniques based on NLP and machine learning to overcome the lack of text data for training large statistical models, particularly for deep learning.