A DEDUCTIVE QUESTION ANSWERER FOR NATURAL-LANGUAGE INFERENCE,

Abstract

The paper describes and exemplifies in detail the question-answering aspects of the Protosynthex III prototype language processing system, which is written in LISP 1.5 and operates on the Q-32 time-sharing system. The system's data structures and their semantic organization, the deductive question-answering formalism of relational properties and complex-relation-forming operators, and the question-answering procedures which employ these features in their operation are all described and illustrated. Examples of the system's performance and of the limitations of its question-answering capability are presented and discussed. It is shown that the use of semantic information in deductive question answering greatly facilitates the process, and that a top-down procedure which works from question to answer enables effective use to be made of this information. It is concluded that the development of Protosynthex III into a practically useful system to work with large data bases is possible but will require changes in both the data structures and the algorithms used for question answering. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 15, 1968
Accession Number
AD0681531

Entities

People

  • John F. Burger
  • Robert F. Simmons
  • Robert M. Schwarcz

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Databases
  • Digital Information
  • Language
  • Natural Languages
  • Prototypes

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval