Accession Number:

ADA460405

Title:

Upper Modeling: organizing knowledge for natural language processing

Descriptive Note:

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST

Personal Author(s):

Report Date:

1990-01-01

Pagination or Media Count:

9.0

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.

Subject Categories:

  • Information Science
  • Linguistics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE