Ambiguity in the output is a concern for NLG in general. This paper considers the case of structural ambiguity in spoken language generation. We present an algorithm which inserts ...
A key advantage for the use of a Domain-Specific Language (DSL) is the leverage that can be captured from a concise representation of a programmer’s intention. This paper report...
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
Abstract. In this paper we apply a formal ontological framework in order to deconstruct two prominent approaches to navigation from cognitive robotics, the Spatial Semantic Hierarc...