Stanley Kok

Address:
Dept. of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350

Email: <last name followed by first character of first name> at cs dot washington dot edu

I am a Ph.D. student in the Department of Computer Science and Engineering at the University of Washington. My research interest lies in the field of artificial intelligence, specifically machine learning. Together with my advisor Pedro Domingos, I am currently working on Markov logic networks. I wrote Alchemy, a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.

Publications

Extracting Product Information from Email Receipts using Markov Logic. Stanley Kok and Wen-tau Yih. Proceedings of the Sixth Conference on Email and Anti-Spam, 2009. Mountain View, California.
Hypergraph Lifting for Structure Learning in Markov Logic Networks. Stanley Kok and Pedro Domingos. Proceedings of the International Workshop on Statistical Relational Learning, 2009. Leuven, Belgium.
Learning Markov Logic Network Structure via Hypergraph Lifting. Stanley Kok and Pedro Domingos. Proceedings of the Twenty-Sixth International Conference on Machine Learning, 2009. Montreal, Canada: ACM Press. (online appendix) (slides)
Extracting Semantic Networks from Text via Relational Clustering. Stanley Kok and Pedro Domingos. Proceedings of the Nineteenth European Conference on Machine Learning (pp. 624-639), 2008. Antwerp, Belgium: Springer. (online appendix) (slides) (video)
Markov Logic (book chapter). Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla. In L. De Raedt, P. Frasconi, K. Kersting and S. Muggleton (eds.), Probabilistic Inductive Logic Programming (pp. 92-117), 2008. New York: Springer.
Statistical Predicate Invention. Stanley Kok and Pedro Domingos. Proceedings of the Twenty-Fourth International Conference on Machine Learning (pp. 433-440), 2007. Corvallis, Oregon: ACM Press. (online appendix) (slides) (video)
Unifying Logical and Statistical AI. Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 2-7), 2006. Boston, MA: AAAI Press.
Toward Statistical Predicate Invention (position paper). Stanley Kok and Pedro Domingos. Proceedings of the ICML-2006 Workshop on Open Problems in Statistical Relational Learning, 2006. Pittsburgh, PA: IMLS. (poster)
Learning the Structure of Markov Logic Networks. Stanley Kok and Pedro Domingos. Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 441-448), 2005. Bonn, Germany: ACM Press. (online appendix) (slides)
Web-scale Information Extraction in KnowItAll (Prelimary Results). Oren Etzioni, Michael Cafarella., Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel Weld, and Alexander Yates. Proceedings of the 13th International Conference on the World Wide Web (pp. 100-109), 2004. New York, USA: ACM Press.

Talks

Extracting Semantic Networks from Text. Mathematics and Computing Technology, Boeing, Washington, March 2009.
Markov Logic. Probabilistic Models of Cognition: The Mathematics of Mind (Graduate Summer School), IPAM, UCLA, July 17-18, 2007.

Software

The Alchemy System for Statistical Relational AI (Technical Report). Stanley Kok, Marc Sumner, Matthew Richardson, Parag Singla, Hoifung Poon, Pedro Domingos. 2006. Department of Computer Science and Engineering, University of Washington, Seattle, WA. http://alchemy.cs.washington.edu.

Last modified: May 28, 2009