Paul C. Davis

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Responses to the featured paper are provided by four authors who represent different elements of the simulation research community: industry, private research laboratory, and university. As is evident from the reactions given, these perspective provide both shared and distinct observations on model composability as an opportunity for research investment.
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs, in order to produce high quality, personalized recommendations. In the described approach, such recommendations are exemplified in an advertising scenario. We propose a(More)
Nonconcatenative constraints, such as the shuffle relation , are frequently employed in grammatical analyses of languages that have more flexible ordering of constituents than English. We show how it is possible to avoid searching the large space of permutations that results from a nondeterministic application of shuffle constraints. The results of our(More)
We describe an approach to resolving definite de-scriptious and pronominal anaphora as subcases of a general strategy for presupposition satisfaction. Generally, a presupposition is satisfied in a context if the context contains a specific type of information and is organized in such a way that this information can be retrieved by the interlocutors. The(More)
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