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Methods for understanding incomplete natural language query

  • US 9,767,091 B2
  • Filed: 02/13/2015
  • Issued: 09/19/2017
  • Est. Priority Date: 01/23/2015
  • Status: Active Grant
First Claim
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1. A system comprising:

  • at least one processor; and

    memory encoding computer executable instructions that, when executed by at least one processor, perform a method for interpreting incomplete natural language expressions, the method comprising;

    receiving input from a client device, the user input comprising an incomplete natural language expression, wherein the incomplete natural language expression is a string of characters with one or more missing characters;

    extracting one or more n-grams from the incomplete natural language expression;

    analyzing the extracted one or more n-grams to determine a set of possible domains;

    assigning a confidence level to each possible domain of the set of possible domains, wherein the confidence level for at least one possible domain exceeds a predetermined confidence threshold;

    predicting an intent of a user associated with the at least one possible domain; and

    initiating at least one domain application for performing the predicted intent;

    predicting at least one slot for executing at least one function;

    receiving a selection, wherein the received selection indicates confirmation that the at least one function reflects an actual intent of the user; and

    training a natural language analysis component based on at least the received selection indicating confirmation.

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