This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
ended abstract provides an overview of my research towards a dissertation thesis in the context of programming cognitive agents with non-monotonic reasoning capabilities. Categori...
In recent years, there have been several proposals that extend the expressive power of Bayesian networks with that of relational models. These languages open the possibility for t...
In this paper we propose an XML-based markup language, called XSTEP, for embodied agents, based on the scripting language STEP. XSTEP is the XML-based successor of STEP. The scrip...
Effective use of the vast quantity of information now available on the web will require the use of “Semantic Web” markup languages such as the DARPA Agent Markup Language (DAML...
Filip Perich, Lalana Kagal, Harry Chen, Sovrin Tol...