ONTOLOGY DRIVEN DICTIONARY GENERATION AND AMBIGUITY RESOLUTION FOR NATURAL LANGUAGE PROCESSING

  • US 20160283466A1
  • Filed: 05/31/2016
  • Published: 09/29/2016
  • Est. Priority Date: 06/12/2012
  • Status: Active Grant
First Claim
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1. A computer implemented method for natural language processing ambiguity resolution, comprising:

  • storing, in computer memory, an ontological library specifying a set of grammatical rules, wherein the grammatical rules are associated with ontological classes and sub-classes;

    generating, using a computer processor, a dictionary for each ontological class and sub-class by compiling all word instances belonging to the class or sub-class associated with the dictionary;

    receiving, using the processor, a phrase having a natural language processing ambiguity and comprising at least one ambiguous word to be processed that is associated with at least one class and at least two sub-classes;

    annotating, using the processor, the ambiguous word with the ontological classes and sub-classes to which the ambiguous word belongs based on the generated dictionaries;

    retrieving, from the ontological library using the processor, the grammatical rules associated with the ontological classes and sub-classes to which the ambiguous word belongs;

    eliminating, using the processor, one or more ontological classes or sub-classes based on the retrieved grammatical rules; and

    determining, using the processor, a surviving ontological class and sub-class to be an accurate ontological class and sub-class for the ambiguous word to resolve the natural language processing ambiguity.

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