Jbg reading

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  • Jordan, M. Introduction to Graphical Models (Chapters 1-5, 9-12)
  • Russell, S., & Norvig, P (2002). Artificial Intelligence: A Modern Approach. New York: Prentice Hall. (Chapters 3-7, 18-21)
http://www.cs.berkeley.edu/~russell/aima/
  • Manning, C., & Schütze, H. Statistical Natural Language Processing. Cambridge: MIT Press. (Chapter 3-8)
  • Schutze, H. Automatic word sense discrimination. Computational Linguistics, 24(1):97-124, 1998.
http://citeseer.ist.psu.edu/schutze98automatic.html
  • Yarowsky, D. (1999). Unsupervised Word Sense Disambiguation Rivaling Supervised Methods. Meeting of the Association for Computational Linguistics.
http://acl.ldc.upenn.edu/P/P95/P95-1026.pdf 
  • Schapire, R. (2001). The Boosting Approach to Machine Learning: An Overview. In MSRI Workshop on Nonlinear Estimation and Classification, Berkeley, CA, Mar. 2001.

http://citeseer.ist.psu.edu/schapire02boosting.html

  • Miller G. Nouns in WordNet. (1995). Introduction to WordNet: An On-line Lexical Database. Cambridge: MIT Press.
  • Fellbaum, C. Verbs in WordNet. (1995). Introduction to WordNet: An On-line Lexical Database. Cambridge: MIT Press.
http://www.cfilt.iitb.ac.in/archives/english_wordnet_5papers.pdf
  • Snow, R., Jurafsky, D., & Ng, A. (2005). Learning syntactic patterns for automatic hypernym discovery. In NIPS 17.
http://ai.stanford.edu/~ang/papers/nips04-hypernym.pdf
  • Blei, D., Ng, A., Jordan, M. (2002). Latent Dirichlet allocation. In: NIPS 14.
 http://citeseer.ist.psu.edu/blei03latent.html
  • Winn, J., & Bishop, C.M. (2005). Variational message passing. Journal of Machine Learning Research 6, 661–694.

http://research.microsoft.com/Bib2html/downloads/Bishop-VIBES-JMLR-04.pdf

  • Teh, Y. Jordan, M. Beal, M., & Blei, D. (2005). Hierarchical Dirichlet processes. Journal of the American Statistical Association.
http://www.cs.princeton.edu/~blei/papers/TehJordanBealBlei2004.pdf