Natural Language Based Information Retrieval,

Abstract

A program which accepts natural language queries can allow a nontechnical user to easily obtain information from a large non-uniform data base. To date most natural language systems have used parsers whose operation bears dubious resemblance to human language understanding and furthermore, these systems have proved to be difficult to extend to new data bases. This paper discusses the design of a new natural language data base interrogation system which should overcome these difficulties.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1974
Accession Number
ADA001131

Entities

People

  • D. L. Waltz
  • R. P. Gabriel

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Databases
  • Information Retrieval
  • Interrogation
  • Language
  • Natural Languages

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Linguistics
  • Computer Science.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation