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Proceedings Paper

Automatically Generating Natural Language Status Reports
Author(s): Jugal Kalita; Sunil Shende
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Paper Abstract

In this paper, we describe a system which generates compact natural language status reports for a set of inter-related processes at various stages of progress. The system has three modules - a rule-based domain knowledge representation module, an elaborate text planning module, and a surface generation module. The knowledge representation module models a set of processes that are encountered in a typical office environment, using a body of explicitly sequenced production rules implemented by an augmented Petri net mechanism. The system employs an interval-based temporal network for storing historical information. A text planning module traverses this network to search for events which need to be mentioned in a coherent report describing the current status of the system. The planner combines similar information for succinct presentation whenever applicable. It also takes into consideration various issues such as relevance and redundancy, simple mechanisms for viewing events from multiple perspectives and the application of discourse focus techniques for the generation of good quality text. Finally, an available surface generation module which has been suitably augmented is used to produce well-structured textual reports for our chosen domain.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947017
Show Author Affiliations
Jugal Kalita, University of Pennsylvania (United States)
Sunil Shende, University of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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