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Criteria in natural language generation: Minimal criteria and their impacts

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GWAI-92: Advances in Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 671))

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Abstract

Given the enormous increase of research in the field of natural language generation, the need for a systematic account of criteria for assessing natural language generators is stressed. This paper tries to give an answer to a number of recently addressed topics regarding criteria, laying special emphasis on which criteria are necessary and relevant and how they influence design decisions for natural language generators. A minimal number of four closely interrelated criteria is presented. It is argued that values for these criteria are usually available before design decisions are made, and the direct impact of these criteria on selecting alternatives in various dimensions of natural language generation is shown together with selected examples. Finally, problems associated with the classification proposed are addressed and directions for future research in this relatively new field of impact assessment are pointed out.

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Authors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Vienna

    Ernst Buchberger

Authors
  1. Ernst Buchberger
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Hans Jürgen Ohlbach

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© 1993 Springer-Verlag Berlin Heidelberg

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Buchberger, E. (1993). Criteria in natural language generation: Minimal criteria and their impacts. In: Jürgen Ohlbach, H. (eds) GWAI-92: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol 671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0019018

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  • DOI: https://doi.org/10.1007/BFb0019018

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56667-0

  • Online ISBN: 978-3-540-47626-9

  • eBook Packages: Springer Book Archive

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