Andrew Carlson

I am a Ph.D. student at Carnegie Mellon University in the Machine Learning Department, within the School of Computer Science. My advisor is Tom Mitchell. My research focuses on mining unstructured data (e.g. personal workstations, the Web) for information. I am particularly interested in building large-scale, minimally-supervised information extraction systems.

I am thankful for support from Yahoo! for my research in 2007-2009 through the PhD Student Fellowship Program. I am currently an intern with Yahoo!'s Data Mining and Research group, working with Scott Gaffney and Flavian Vasile.

I spent the summer of 2007 working at Google in Pittsburgh. A publication from that work will be presented at ECML/PKDD 2008 in September.

In the summer of 2006, I coordinated a reading group on semi-supervised natural language learning research.

Previously, I attended the University of Illinois at Urbana-Champaign, where I received a B.S. in Computer Science. I researched machine learning applied to natural language under Professor Dan Roth, as part of the Cognitive Computation Group. I also released and maintained the SNoW software package.

Publications

• "Bootstrapping Information Extraction from Semi-structured Web Pages," A. Carlson and C. Schafer, to appear at ECML/PKDD 2008.
• "Predicting Human Brain Activity Associated with the Meanings of Nouns," T. M. Mitchell, S. V. Shinkareva, A. Carlson, K.M. Chang, V. L. Malave, R. A. Mason, and M. A. Just, Science 320, May 30, 2008, 1161-1165. Supporting Online Material. Supporting website.
• "On the Chance Accuracies of Large Collections of Classifiers," M. Palatucci and A. Carlson, Proceedings of the 25th International Conference on Machine Learning (ICML), 2008.
• "Memory-Based Context-Sensitive Spelling Correction at Web Scale," A. Carlson and I. Fette, Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), 2007.
• "Scaling Up Context Sensitive Text Correction," A. Carlson, J. Rosen, and D. Roth, Proceedings of the The Thirteenth Conference on Innovative Applications of Artificial Intelligence (IAAI), 2001.
• "The SNoW Learning Architecture," A. Carlson, C. Cumby, J. Rosen, and D. Roth (1999). Technical Report UIUCDCS-R-99-2101, UIUC Computer Science Department, May, 1999.

Contact Information

office:

Wean Hall 8201

email:

acarlson AT cs.cmu.edu

CMU address:

Andrew Carlson

Machine Learning Department

School of Computer Science

Carnegie Mellon University

5000 Forbes Avenue

Pittsburgh, PA 15213-3891