Automatically Generating Natural Language Status Reports

Jugal Kalita; Sunil Shende

doi:10.1117/12.947017

29 March 1988 Automatically Generating Natural Language Status Reports

Jugal Kalita, Sunil Shende

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947017
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Jugal Kalita and Sunil Shende "Automatically Generating Natural Language Status Reports", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947017

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