Exploring Note of Vex and Deep Walk for Embedding Generation in NLP

This chapter discusses the methods of 'note of Vex' and 'deep walk' for self-supervised learning and embedding generation in NLP. It examines their limitations and suggests the potential use of graph neural networks or hybrid approaches for improvement.