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Machine learning to determine analogy outcomes

  • US 9,892,112 B1
  • Filed: 10/06/2016
  • Issued: 02/13/2018
  • Est. Priority Date: 10/06/2016
  • Status: Active Grant
First Claim
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1. A computer system comprising:

  • a processing unit operatively coupled to memory;

    an artificial intelligence platform, in communication with the processing unit;

    a knowledge engine in communication with the processing unit to decipher a phrase upon activation by the artificial intelligence platform, including;

    parse a phrase into subcomponents;

    identify a category for each parsed subcomponent and a syntactic structure of the phrase;

    generate a list of definitions for each parsed subcomponent, the list corresponding to the identified category;

    rank the definitions in the list according to relevance;

    identify an outcome base on ranked relevancy, the outcome being a definition with the highest relevance in the list;

    search a corpus for evidence of a pattern associated with the list;

    score each definition in the list according to a weighted calculation based on congruence of corpus evidence with the pattern; and

    generate an outcome from the definition list, wherein the outcome is a definition with a strongest congruence to the pattern.

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