Semantic modeling for deductive question-answering

  • Authors:

  • K. Biss;R. Chien;F. Stahl;S. Weissman

  • Affiliations:

  • Dept. of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois;Dept. of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois;Dept. of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois;Dept. of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois

  • Venue:
  • IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
  • Year:
  • 1973

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Abstract

A description of techniques used for semantic modeling in a deductive question-answering system is given. The system maintains a dialog and is able to understand situations which can be expressed as a series of sequential time-frames. Specific relevant questions are asked by the system when it is unable to succeed in a given task. It can also provide reasons for its previous actions.