Incremental event conceptualization and natural language generation in monitoring environments

  • Authors:
  • Markus Guhe;Christopher Habel;Heike Tappe

  • Affiliations:
  • University of Hamburg, Hamburg, Germany;University of Hamburg, Hamburg, Germany;University of Hamburg, Hamburg, Germany

  • Venue:
  • INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
  • Year:
  • 2000

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Abstract

In this paper we present a psycholinguistically motivated architecture and its prototypical implementation for an incremental conceptualizer, which monitors dynamic changes in the world and simultaneously generates warnings for (possibly) safety-critical developments. It does so by conceptualizing events and building up a hierarchical knowledge representation of the perceived states of affairs. If it detects a safety problem, it selects suitable elements from the representation for a warning, brings them into an appropriate order, and generates incremental preverbal messages (propositional structures) from them, which can be taken by a subsequent component to encode them linguistically.