David Kauchak Ph.D. Student Computer Science Dept., UCSD dkauchakcs ucsd edu

I've finally obtained my Ph.D. from UCSD in computer science. My recent research has been on improving machine translation methods and I am interested many problems at the interesection of natural language and machine learning.

Publications
David Kauchak (2006). Contribution to Research on Machine Translation. Doctoral dissertation, University of California, San Diego.

David Kauchak and Regina Barzilay (2006). Paraphrasing for Automatic Evaluation. In Proceedings of HLT-NAACL.

Rasmus E. Madsen, David Kauchak and Charles Elkan (2005). Modeling Word Burstiness Using the Dirichlet Distribution. In Proceedings of the Twenty-Second International Conference on Machine Learning (ICML'05).

David Kauchak and Francine Chen (2005). Feature-Based Segmentation of Narrative Documents. In Proc. of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing, 32-39.

David Kauchak, Joseph Smarr and Charles Elkan (2004). Sources of Success for Boosted Wrapper Induction (postscript). In Journal of Machine Learning Research, 5, 499 - 527.

David Kauchak and Sanjoy Dasgupta. (2003). An Iterative Improvement Procedure for Hierarchical Clustering. In Advances in Neural Information Processing Systems (NIPS).

David Kauchak, Joseph Smarr and Charles Elkan. Sources of Success for Information Extraction Methods (pdf, 36 pages) (postscript). Technical Report No. CS2002-0696, January 2002, UCSD.

Recent internships/Visiting research positions
MIT (Regina Barzilay).   October, 2004 - December, 2004.
ISI/USC (Kevin Knight and Daniel Marcu).   Marina Del Rey, CA.   June, 2004 - September, 2004.
PARC.   Palo Alto, CA.   October, 2003 - January, 2004.
Lockheed Martin Orincon.   San Diego, CA.   July, 2003 - September, 2003.
Google Inc.   Mountain View, CA.   July, 2002 - December, 2002.