In this paper, we present our Form-driven approach for reverse engineering of relationa databases. This methodology uses the information extracted from both form structure and inst...
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
This paper introduces a novel framework for the accurate retrieval of relational concepts from huge texts. Prior to retrieval, all sentences are annotated with predicate argument ...
In the spoken language machine translation project Verbmobil, the semantic formalism Language for Underspecified Discourse representation structures (LUD) is used. LUD describes a...
—In this work, we make use of 3D visual contours carrying geometric as well as appearance information. Between these contours, we define 3D relations that encode structural info...
Emre Baseski, Leon Bodenhagen, Nicolas Pugeault, S...