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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2953))

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Abstract

The simply typed λ-calculus can be taken as the basis of a formalism in which we assign meaning to the basic expressions of a natural language and explain the meaning of larger constituents by the composition of the meaning of their parts. However, under a conventional higher-order semantic for the λ-calculus, we cannot give a model generation method based on the well-known techniques of first-order model generation. By weakening the semantic of higher-order logic, we formulate a logical language that has the compositional expressivity of a higher-order logic but the finitely representable models of a first-order one. A generic model generation technique for this language is presented and discussed, and a refinement for minimal model generation is introduced.

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© 2004 Springer-Verlag Berlin Heidelberg

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Konrad, K. (2004). 3 Higher-Order Model Generation. In: Model Generation for Natural Language Interpretation and Analysis. Lecture Notes in Computer Science(), vol 2953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24640-4_3

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  • DOI: https://doi.org/10.1007/978-3-540-24640-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21069-6

  • Online ISBN: 978-3-540-24640-4

  • eBook Packages: Springer Book Archive

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