Abstract. The paper provides a conceptual framework for designing and executing business processes using semantic Web services. We envision a world in which a designer deļ¬nes a ā...
Abstract. This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identiļ¬cation, with the maximum entropy (Maxent) model. A number o...
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
Abstract. An eļ¬ective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...