Useful NLP/ML tutorials
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
Generalized Linear Classifiers in NLP
by Ryan McDonald.
Generative and Discriminative Classifiers: Naive Bayes and Logistic Regression
chapter from Tom Mitchell's Machine Learning book.
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
, though I have not watched them all.
by Mark Steyvers and Tom Griffiths.
by Ani Nenkova and Kathy McKeown.
A Statistical MT Workbook
by Kevin Knight for intro/IBM models.