Annie Louis


NLP/Machine Learning Tutorials

I plan to update this page with NLP/ML tutorials, surveys and articles that I have read and found useful. Tutorials are nice in that they give a broad overview of the topic and comparison with related approaches. Here is my small list for now.

Intro to classifiers
  1. Generalized Linear Classifiers in NLP by Ryan McDonald.
  2. Generative and Discriminative Classifiers: Naive Bayes and Logistic Regression chapter from Tom Mitchell's Machine Learning book.

Topic models
  1. Video lecture and slides by David Blei at Machine Learning Summer School, 2009 at Cambridge UK. In fact, this summer school has a lot of other useful lectures, though I have not watched them all.
  2. An introductory tutorial by Mark Steyvers and Tom Griffiths.

Summarization
  1. Automatic Summarization by Ani Nenkova and Kathy McKeown.

Machine Translation
  1. A Statistical MT Workbook by Kevin Knight for intro/IBM models.