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International Workshop on Natural Language Generation

IWNLG 1992: Aspects of Automated Natural Language Generation pp 215–230Cite as

Text revision: A model and its implementation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 587))

Abstract

To generate good text, many kinds of decisions should be made. Many researchers have spent much time searching for the architecture that would determine a proper order for these decisions. However, even if such an architecture is found, there are still certain kinds of problems that are difficult to consider during the generation process. Those problems can be more easily detected and solved by introducing a revision process after generation. In this paper, we argue the importance of text revision with respect to natural language generation, and propose a computational model of text revision. We also discuss its implementation issues and describe an experimental Japanese text generation system, WeiveR.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Tokyo Institute of Technology, 2-12-1 Ôokayama Meguro, 152, Tokyo, Japan

    Kentaro Inui, Takenobu Tokunaga & Hozumi Tanaka

Authors
  1. Kentaro Inui
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  2. Takenobu Tokunaga
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  3. Hozumi Tanaka
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Editor information

R. Dale E. Hovy D. Rösner O. Stock

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© 1992 Springer-Verlag Berlin Heidelberg

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Inui, K., Tokunaga, T., Tanaka, H. (1992). Text revision: A model and its implementation. In: Dale, R., Hovy, E., Rösner, D., Stock, O. (eds) Aspects of Automated Natural Language Generation. IWNLG 1992. Lecture Notes in Computer Science, vol 587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55399-1_15

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  • DOI: https://doi.org/10.1007/3-540-55399-1_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55399-1

  • Online ISBN: 978-3-540-47054-0

  • eBook Packages: Springer Book Archive

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