Regoczei and Hirst Abstract

• Regoczei, Stephen and Hirst, Graeme.
  ``On `Extracting knowledge from text': Modelling the architecture of language users.''
  Proceedings, Third European Workshop on Knowledge Acquisition for Knowledge-Based Systems, Paris, July 1989, 196--211. [Also published as technical report CSRI-225, Computer Systems Research Institute, University of Toronto, January 1989.]

We propose a unified view of natural language understanding and knowledge acquisition. Knowledge is not `extracted' from a text, but rather is added to the text by a `cogniting' agent. The text, and whatever is contained in it, serves only as a triggering mechanism. This process of addition is concept cluster attachment. This can be generalized to artificial notations such as mathematical formulas and diagrams (even Rorschach tests!) and general signing such as facial expressions and gestures. We develop a minimal three-level architecture for a cogniting agent, consisting of verbal, conceptual, and sub-conceptual levels

We further propose that natural language understanding and knowledge acquisition from text requires expertise. We discuss how this expertise may be acquired and incorporated into an expert system, and incrementally build up the architecture of the theoretical version of such an expert system, which we call LUKES. We discuss its implementation as LOGOS using the sortal analysis tool SORTAL.

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