Uniform Parsing and Inferencing for Learning

Charles E. Martin, Christopher K. Riesbeck

Research output: Contribution to conferencePaperpeer-review

15 Scopus citations


In previous papers we have argued for the complete integration of natural language understanding with the rest of the cognitive system. Given a set of richly indexed memory structures, we have claimed that parsing is a general memory search process guided by predictive patterns of lexical and conceptual items which are a part of those memory structures. In this paper, we demonstrate that our architecture for language understanding is capable of implementing the memory search processes required to make complex inferences not directly associated with parsing. The uniform format of the knowledge representation and search process provide a foundation for learning research.

Original languageEnglish (US)
Number of pages5
StatePublished - 1986
Event5th National Conference on Artificial Intelligence, AAAI 1986 - Philadelphia, United States
Duration: Aug 11 1986Aug 15 1986


Conference5th National Conference on Artificial Intelligence, AAAI 1986
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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