I would like to know difference between supervised, semi-supervised and unsupervised learning in Natural Language processing, when each one could be used with examples. It would be appreciated if I could have any good resources about these techniques such as text books, web pages, videos etc.
this is a good book with good examples: http://statweb.stanford.edu/~tibs/ElemStatLearn/ and it's free :-)
an other good introduction to methods and terminology of machine learning can be found here: http://www.cs.waikato.ac.nz/ml/weka/book.html
See relevant information below:
(1)
A power-point presentation about Supervised and Unsupervised learning for Natural language Processing
can be found at
www.cs.cmu.edu/~mfaruqui/talks/vit-chennai.pptx
(2)
A lesson/talk on
aboutUnsupervised learning for Natural language Processing
can be found at
http://videolectures.net/uai08_klein_ul/
(3) A free book-chapter entitled
"A COMPARATIVE REVIEW OF SELECTED METHODA FOR LEARNING FROM EXAMPLES"
http://www.mli.gmu.edu/papers/81-85/83-04.pdf
It is a chapter from the book
Anderson, J. R. (1986). Machine learning: An artificial intelligence approach (Vol. 2). R. S. Michalski, J. G. Carbonell, & T. M. Mitchell (Eds.). Morgan Kaufmann.
(4)
There is an Encyclopedia of Machine Learning
published by Springer on 2010
ON pp 892-897 you can see the entry "Semi-Supervised Learning" written by Xiaojin Zhu. Other concepts can be found there as well.
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