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Reactive learning for efficient dialog tree expansion

  • US 9,812,127 B1
  • Filed: 04/29/2016
  • Issued: 11/07/2017
  • Est. Priority Date: 04/29/2016
  • Status: Active Grant
First Claim
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1. A method for generating dialogs and learning a dialog policy for a dialog system, comprising:

  • for each of at least one scenario, in which annotators in a pool of annotators serve as virtual agents and users, generating a respective dialog tree in which each path through the tree corresponds to a dialog and nodes of the tree correspond to turn of a dialog, the generation comprising, with a processor;

    a) computing a measure of uncertainty for nodes in the dialog tree, comprising;

    for each of a plurality of nodes, computing a conflict coefficient Ci which quantifies the diversity of its child-node set, as a function of;

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