Abstract
In this paper, we present a logic-based model for an accurate generation of intensional responses within a cooperative question-answering framework. We develop several categories of intensional forms and a variable-depth intensional calculus that allows for the generation of intensional responses at the best level of abstraction. Finally, we show that it is possible to generate such NL responses on a template basis.
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© 2004 Springer-Verlag Berlin Heidelberg
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Benamara, F. (2004). Generating Intensional Answers in Intelligent Question Answering Systems. In: Belz, A., Evans, R., Piwek, P. (eds) Natural Language Generation. INLG 2004. Lecture Notes in Computer Science(), vol 3123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27823-8_2
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DOI: https://doi.org/10.1007/978-3-540-27823-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22340-5
Online ISBN: 978-3-540-27823-8
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