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Using OLAP and Data Mining for Content Planning in Natural Language Generation

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Book cover Natural Language Processing and Information Systems (NLDB 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1959))

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Abstract

We present a new approach to content determination and discourse organization in Natural Language Generation (NLG). This approach relies on two decision-support oriented database technologies, OLAP and data mining, and it can be used for any NLG application involving the textual summarization of quantitative data. It improves on previous approaches to content planning for NLG in quantitative domains by providing: (1) application domain independence, (2) efficient, variable granularity insight search in high dimensionality data spaces, (3) automatic discovery of surprising, counter-intuitive data, and (4) tailoring of output text organization towards different, declaratively speci- fied, analytical perspectives on the input data.

HYpertext Summary System of On-line analytical Processing. On-Line Analytical Processing Multidimensional Analysis and Textual Reporting for Insight Knowledge Search.

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Author information

Authors and Affiliations

  1. Departamento de Informática, Universidade Federal do Pará (DI-UFPA), Pará, Brazil

    Eloi L. Favero

  2. Centro de Informática, Universidade Federal de Pernambuco (CIn-UFPE), Recife, Brazil

    Jacques Robin

Authors
  1. Eloi L. Favero
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  2. Jacques Robin
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Editor information

Editors and Affiliations

  1. PRiSM Laboratory, University of Versailles, 45 av.des Etats-Unis, 78035, Paris, France

    Mokrane Bouzeghoub  & Zoubida Kedad  & 

  2. CNAM, CEDRIC Laboratory, 292 rue Saint-Martin, 75003, Paris

    Elisabeth Métais

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© 2001 Springer-Verlag Berlin Heidelberg

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Favero, E.L., Robin, J. (2001). Using OLAP and Data Mining for Content Planning in Natural Language Generation. In: Bouzeghoub, M., Kedad, Z., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2000. Lecture Notes in Computer Science, vol 1959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45399-7_14

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  • DOI: https://doi.org/10.1007/3-540-45399-7_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41943-3

  • Online ISBN: 978-3-540-45399-4

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