We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
Stimulated by the success of management innovation in the manufacturing industry – culminating in lean production, many homebuilders attempt to model the construction process on...
We propose a methodology based on testing as a framework to capture the interactions of a machine represented in a denotational model and the data it manipulates. Using a duality t...
Designing complex simulation models is a task essentially associated with software engineering. In this paper, the Unified Modeling Language (UML) is used to specify simulation mo...
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...