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Eugene Charniak is a Computer Science and Cognitive Science professor at Brown University. He has an A.B. in Physics from The University of Chicago and a Ph.D. from M.I.T. in Computer Science. His research has always been in the area of language understanding or technologies which relate to it, such as knowledge representation, reasoning under uncertainty, and learning. Since the early 1990s he has been interested in statistical techniques for language understanding. His research in this area has included work in the subareas of part-of-speech tagging, probabilistic context-free grammar induction, and, more recently, syntactic disambiguation through word statistics, efficient syntactic parsing, and lexical resource acquisition through statistical means.

He is a Fellow of the American Association of Artificial Intelligence and was previously a Councilor of the organization. He was also honored with the 2011 Association for Computational Linguistics Lifetime Achievement Award and awarded the 2011 Calvin & Rose G Hoffman Prize. He's also a Founding Fellow of the ACL.

He has published four books:

  1. Statistical Language Learning, Cambridge: MIT Press (1993)
  2. Introduction to Artificial Intelligence (with Drew McDermott), Reading MA: Addison-Wesley (1985)
  3. Artificial Intelligence Programming (now in a second edition) (with Chris Riesbeck, Drew McDermott, and James Meehan), Hillsdale NJ: Lawrence Erlbaum Associates (1980, 1987)
  4. Computational Semantics, (with Yorick Wilks), Amsterdam: North-Holland (1976)

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Preceded by
William Aaron Woods
ACL Lifetime Achievement Award
2011
Succeeded by
Charles J. Fillmore



Original courtesy of Wikipedia: http://en.wikipedia.org/wiki/Eugene_Charniak — Please support Wikipedia.
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EM Works for Pronoun-Anaphora Resolution

Google Tech Talks October 15, 2008 ABSTRACT EM (the Expectation Maximization algorithm) is a well known technique for unsupervised learning (where one does n...

 
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