In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the ind...
Time dependant models have been intensively studied for many reasons, among others because of their applications in software verification and due to the development of embedded pla...
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Marx and de Rijke have shown that the navigational core of the w3c XML query language XPath is not first-order complete ? that is it cannot express every query definable in firsto...
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...