Machine Learning for Natural Language Processing: Course web page

The following course material is currently available:

• Course reader
• Lecture slides:
  1. Lecture 1: Introduction
  2. Lecture 2: Supervised methods, text classification, word sense disambiguation
  3. Lecture 3: Unsupervised methods and their applications in NLP
  4. Lecture 4: Learning Sequence-to-Sequence Maps: Hidden Markov Models: slides, handout
  5. Lecture 5: Learning Sequence-to-Tree Maps: Probabilistic Grammars slides
• Practicals:
  • Tutorial: Step-by-step guide to building a text classification system
  • Software and data (including software and data used in the tutorial)