— Our long-term objective is to develop robots that engage in natural language-mediated cooperative tasks with humans. To support this goal, we are developing an amodal represent...
Knowledge representation in logics, even in the order-sorted logic that includes a sort hierarchy, tends to lose the conciseness and the nuances of natural language. If we could c...
Abstract. Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology i...
Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vl...
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...
We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...