From Random Experiments to Natural Language Processing

I am trying to organise my lecture notes in what looks like a book. It will sure be a while before I can share a single (coherent) pdf, so I’m sharing drafts of individual chapters here.

• Appendix B - Probability Theory
• Appendix C - Probabilistic graphical models
  • slides (directed case)
  • video (directed case)
• Chapter 3 - Generative Models of Text Classification
• Chapter 4 - Discriminative Models of Text Classification and Regression