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A New Approach in Building a Corpus for Natural Language Generation Systems

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Computational Linguistics and Intelligent Text Processing (CICLing 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2004))

Abstract

One of the main difficulties in building NLG systems is to produce a good requirement specification. A way to face this problem is by using a corpus to show the client the features of the system to be developed. In this paper we describe a method to elaborate that corpus and how can be used for a particular system. This method consists of five steps: text collection, input determination, text and input analysis, corpus construction, and pattern extraction.

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Author information

Authors and Affiliations

  1. Laboratorio de Inteligencia Artificial, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Spain

    M del Socorro Bernardos Galindo

  2. Departamento de Lingüística Aplicada a la Ciencia y a la Computación, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n. 28660, Boadilla del Monte, Spain

    Guadalupe Aguado de Cea

Authors
  1. M del Socorro Bernardos Galindo
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  2. Guadalupe Aguado de Cea
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Editor information

Editors and Affiliations

  1. CIC (Centro de Investigación en Computatción IPN (Instituto Politécnico Nacional), Av. Juan Dios Bátiz s/n esq. M. Othon Mendizabal Col. Nuevo Vallejo, CP. 07738, México, Mexico

    Alexander Gelbukh (Unidad Profecional “Adolfo López Mateos”) (Unidad Profecional “Adolfo López Mateos”)

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© 2001 Springer-Verlag Berlin Heidelberg

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del Socorro Bernardos Galindo, M., de Cea, G.A. (2001). A New Approach in Building a Corpus for Natural Language Generation Systems. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_24

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  • DOI: https://doi.org/10.1007/3-540-44686-9_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41687-6

  • Online ISBN: 978-3-540-44686-6

  • eBook Packages: Springer Book Archive

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