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QGen— Generation Module for the Register Restricted InBASE System

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Computational Linguistics and Intelligent Text Processing (CICLing 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2588))

Abstract

In this paper we present our investigations of constructing of a generation module for the InBASE system - a commercially oriented system for understanding of natural language queries to a Data Base. The initial prototype of the module re-generates the user query from the internal OQL representation into a natural language text presented in the form of extended nominal group. We discuss the main principles and methods of the organization of the generation module and peculiarities of the approaches we use for the knowledge representation as well as at planning and realization phases of generation. The initial prototype demonstrates direct transition from the OQL register speci.c representation to morphologically marked up structured representation of the query text. Directions of the further investigations are also discussed in the article.

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Author information

Authors and Affiliations

  1. Computational Mathematic and Cybernetic department, Moscow State University (MSU), Moscow, Russia

    Michael V. Boldasov

  2. Russian Research Institute for Artificial Intelligence (RRIAI), Moscow, Russia

    Elena G. Sokolova

Authors
  1. Michael V. Boldasov
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  2. Elena G. Sokolova
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Editor information

Editors and Affiliations

  1. Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Col. Zacatenco, CP 07738, Mexico D.F., Mexico

    Alexander Gelbukh

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Boldasov, M.V., Sokolova, E.G. (2003). QGen— Generation Module for the Register Restricted InBASE System. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2003. Lecture Notes in Computer Science, vol 2588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36456-0_49

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  • DOI: https://doi.org/10.1007/3-540-36456-0_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00532-2

  • Online ISBN: 978-3-540-36456-6

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