Prose Generation from Expert Systems: An Applied Computational Linguistics Approach

Authors

  • Perry Miller
  • Glenn Rennels

DOI:

https://doi.org/10.1609/aimag.v9i3.941

Abstract

The PROSENET/TEXTNET approach is designed to facilitate the generation of polished prose by an expert system. The approach uses the augmented transition network (ATN) formalism to help structure prose generation at the phrase, sentence, and paragraph levels. The approach also uses expressive frames to help give the expert system builder considerable freedom to organize material flexibly at the paragraph level. The PROSENET /TEXTNET approach has been used in a number of prototype expert systems in medical domains, and has proved to be a convenient and powerful tool.

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Published

1988-09-15

How to Cite

Miller, P., & Rennels, G. (1988). Prose Generation from Expert Systems: An Applied Computational Linguistics Approach. AI Magazine, 9(3), 37. https://doi.org/10.1609/aimag.v9i3.941

Issue

Vol. 9 No. 3: Fall 1988

Section

Articles

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