Continuing our research in explanation-oriented language design, we present a domain-specific visual language for explaining probabilistic reasoning. Programs in this language, c...
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
The trend towards highly specialized solution providers cooperatively offering configurable products and services to their customers requires the extension of current (standalone)...
Alexander Felfernig, Gerhard Friedrich, Dietmar Ja...
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
—Probabilistic properties are considered as the most important requirements for a variety of software systems, since they are used to formulate extra-functional requirements such...