PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Active learning for constrained dirichlet process mixture models
A Vlachos, Zoubin Ghahramani and T Briscoe
In: GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics, 11-16 July 2010, Uppsala, Sweden.


Recent work applied Dirichlet Process Mixture Models to the task of verb clustering, incorporating supervision in the form of must-links and cannot-links constraints between instances. In this work, we introduce an active learning approach for constraint selection employing uncertainty-based sampling. We achieve substantial improvements over random selection on two datasets.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:7862
Deposited By:Zoubin Ghahramani
Deposited On:17 March 2011