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Michael Lamar Ph.D.

Assistant Professor

213 Ritter Hall
Work: (314) 977-2434

Education:

  1. BA, BS - Washington University 1999
  2. MS - Washington University 2000
  3. MS - Johns Hopkins University 2004
  4. MS - Brown University 2006
  5. PhD - Brown University 2010

Biography:

    My primary research interests are in Computational Linguistics and Machine Learning.  I have primarily focused on natural language processing by creating learning processes that rely on both statistically driven probability models and dynamical systems models.  I'm also interested in extending these approaches from natural language to other environments in which the structure of data can be inferred from co-occurrence relationships.

 

 

Publications:

Lamar, Maron, and Bienenstock.  Latent Descriptor Clustering for Unsupervised POS Induction.  EMNLP 2010.  (accepted for publication Oct. 2010)

Lamar, Maron, and Bienenstock.  SVD and Clustering for Unsupervised POS Tagging.  ACL 2010.  (Winner of best short paper)

Awadallah, Lamar, Kuttler. An Accelerated Boundary Integral Equation Scheme for Propagation over the Ocean Surface. Radio Sciene. 37(5), 1075 October 2002

Bayly, Lamar, Calvert. Low-Frequency Regenerative Vibration and the Formation of Lobed Holes in Drilling.  Journal of Manufacturing Science Eng. May 2002 Volume 124, Issue 2



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