A DATA STRUCTURE FOR COGNITIVE INFORMATION RETRIEVAL,

Abstract

A new data structure developed in connection with a natural language question-answering system is described. The data structure is based upon a new high-order calculus. It allows a great degree of expressiveness and is suitable for extensive logical deduction. The inadequacies of low-order schemes for the representation of natural language information are given. A formal description of the new high-order structure which overcomes these inadequacies is then presented along with the properties that make it more suitable and attractive for machine processing of natural language information. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1970
Accession Number
AD0713432

Entities

People

  • F. A. Stahl
  • K. O. Biss
  • Robert Tienwen Chien

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Calculus
  • Computational Processes
  • Information Retrieval
  • Language
  • Natural Languages

Readers

  • Artificial Intelligence
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Systems Analysis and Design

Technology Areas

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