Michael Collins

Recently I've been trying to make an effort to write up fairly comprehensive notes for topics I teach in statistical NLP. The following notes follow weeks one and two of my spring 2013 Coursera course very closely:

In case you want to read ahead, notes on material that will be covered later in the class are as follows:
  • The forward-backward algorithm
  • The EM algorithm
  • The inside-outside algorithm