A deductive question-answerer for natural language inference

  • Authors:
  • Robert M. Schwarcz;John F. Burger;Robert F. Simmons

  • Affiliations:
  • System Development Corp., Santa Monica, CA;System Development Corp., Santa Monica, CA;System Development Corp., Santa Monica, CA

  • Venue:
  • Communications of the ACM
  • Year:
  • 1970

Quantified Score

Hi-index 48.24

Visualization

Abstract

The question-answering aspects of the Protosynthex III prototype language processing system are described and exemplified in detail. The system 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.