Upper Modeling: organizing knowledge for natural language processing

Abstract

A general, reusable computational resource has been developed within the Penman text generation project for organizing domain knowledge appropriately for linguistic realization. This resource, called the upper model, provides a domain- and task-independent classification system' that supports sophisticated natural language processing while significantly simplifying the interface between domain-specific knowledge and general linguistic resources. This paper presents the results of our experiences in designing and using the upper model in a variety of applications over the past 5 years. In particular, we present our conclusions concerning the appropriate organization of an upper model, its domain- independence, and the types of interrelationships that need to be supported between upper model and grammar and semantics.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA460405

Entities

People

  • John A . Bateman

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Cognitive Science
  • Computational Linguistics
  • Computer Languages
  • Computer Programs
  • Databases
  • Expert Systems
  • Grammars
  • Information Science
  • Language
  • Linguistics
  • Machine Translation
  • Models
  • Natural Language Processing
  • Natural Languages
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics
  • Riverine Ecology

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks