This paper presents a system which automatically generates shallow semantic frame structures for conversational speech in unrestricted domains. We argue that such shallow semantic...
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
Nicolas Pugeault, Emre Baseski, Dirk Kraft, Floren...
Abstract The paper analyzes UML, the well known software engineering tool, from the knowledge engineering perspective. The goal of the paper is to evaluate UML as the possible desi...
We present a powerful new account of multi-agent knowledge in the situation calculus and an effective reasoning procedure for handling knowledge queries. Our approach generalizes...
Large-scale knowledge-based machine translation requires significant amounts of lexical knowledge in order to map syntactic structures to conceptual structures. This paper present...