Employing Knowledge Resources in a New Text Planner Architecture

Abstract

We describe in this paper a new text planner that has been designed to address several problems we had encountered in previous systems. Motivating factors include a clearer and more explicit separation of the declarative and procedural knowledge used in a text generation system as well as the identification of the distinct types of knowledge necessary to generate coherent discourse, including communicative goals, text types, schemas, discourse structure relations, and theme development patterns. This knowledge is encoded as separate resources and integrated under a flexible planning process that draws from appropriate resources whatever knowledge is needed to construct a discourse structure. We describe the resources and the planning process and illustrate the ideas with an example. Text planning, Discourse structure, Computational language generation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA278642

Entities

People

  • Cecile Paris
  • Eduard Hovy
  • Julia Lavid
  • Vibhu Mittal

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computational Linguistics
  • Computer Science
  • Demographic Cohorts
  • Grammars
  • Hierarchies
  • Information Science
  • Instructions
  • Language
  • Linguistics
  • Materials
  • Natural Languages
  • New York
  • Taxonomy

Readers

  • Artificial Intelligence
  • Computational Linguistics
  • Systems Analysis and Design