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 the Web for information. I am particularly interested in building large-scale, minimally-supervised information extraction systems. I am a member of the Read the Web project.

I am thankful for support from Yahoo! for my research in 2007-2009 through the PhD Student Fellowship Program. I was an intern with Yahoo!'s Data Mining and Research group, working with Scott Gaffney and Flavian Vasile, in the summer of 2008.

I spent the summer of 2007 working at Google in Pittsburgh. A publication from that work was 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

• "Coupling Semi-Supervised Learning of Categories and Relations", Andrew Carlson, Justin Betteridge, Estevam R. Hruschka Jr. and Tom M. Mitchell, Proceedings of the NAACL HLT 2009 Workshop on Semi-supervised Learning for Natural Language Processing, 2009.
• "Toward Never Ending Language Learning", J. Betteridge, A. Carlson, S. A. Hong, E. R. Hruschka Jr., E. L. M. Law, T. M. Mitchell, S. H. Wang, Proceedings of the 2009 AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009.
• "Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron", A. Carlson, S. Gaffney, and F. Vasile, Proceedings of the 2009 AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009.
• "Bootstrapping Information Extraction from Semi-structured Web Pages," A. Carlson and C. Schafer, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (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