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System and method for data-driven socially customized models for language generation

  • US 9,972,309 B2
  • Filed: 08/05/2016
  • Issued: 05/15/2018
  • Est. Priority Date: 05/13/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • identifying, via a processor configured to perform speech analysis, an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification;

    generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and

    applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition or natural language generation.

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