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Sharing intents to provide virtual assistance in a multi-person dialog

  • US 10,079,013 B2
  • Filed: 11/27/2013
  • Issued: 09/18/2018
  • Est. Priority Date: 11/27/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method for developing a semantic understanding of a multi-topic natural language dialog session involving at least two human participants, the method comprising, with a computing system:

  • by a microphone, receiving a plurality of instances of spoken natural language dialog input supplied by a plurality of human participants in the dialog session;

    for one or more of the instances of dialog input, determining a domain model to apply to the dialog input;

    developing one or more intents based on the determined domain model, an intent comprising a structured representation of semantic content of the one or more instances of dialog input;

    storing the intents in a shared dialog context;

    selecting an intent from the shared dialog context based on an intent mapping, the intent mapping defining a relationship between the selected intent and a current intent, the current intent comprising a structured representation of semantic content of a current instance of the dialog input;

    creating a shared intent by combining a portion of the selected intent with a portion of the current intent;

    executing an action by the computing system based on the shared intent;

    wherein at least one of the intents is based on a domain model relating to a first topic and at least one other of the intents is based on a different domain model relating to a different topic than the first topic; and

    wherein the selected intent is selected based at least partly on a variable temporal proximity relative to the occurrence of the current intent.

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