The sheer volume and complexity of government regulations make any attempt to locate, understand and interpret the information a daunting task. Other factors, such as the scattere...
This work is motivated by the task of describing in natural language a concept defined in an OWL DL ontology. However, rather than focussing on linguistic issues, we address the q...
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
To tackle the problem of presenting a large number of options in spoken dialogue systems, we identify compelling options based on a model of user preferences, and present tradeoff...
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...