Patents by Inventor Taylor Darwin Berg-Kirkpatrick

Taylor Darwin Berg-Kirkpatrick has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Iteratively updating parameters for dialog states
    Patent number: 10319381
    Abstract: An interaction assistant conducts multiple turn interaction dialogs with a user in which context is maintained between turns, and the system manages the dialog to achieve an inferred goal for the user. The system includes a linguistic interface to a user and a parser for processing linguistic events from the user. A dialog manager of the system is configured to receive alternative outputs from the parser, and selecting an action and causing the action to be performed based on the received alternative outputs. The system further includes a dialog state for an interaction with the user, and the alternative outputs represent alternative transitions from a current dialog state to a next dialog state. The system further includes a storage for a plurality of templates, and wherein each dialog state is defined in terms of an interrelationship of one or more instances of the templates.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: June 11, 2019
    Assignee: Semantic Machines, Inc.
    Inventors: Jacob Daniel Andreas, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak, Andrew Robert Volpe, Steven Andrew Wegmann, Taylor Darwin Berg-Kirkpatrick, Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Michael Newman, Adam David Pauls
  • Automated assistant for user interaction via speech
    Patent number: 10276160
    Abstract: An interaction assistant conducts multiple turn interaction dialogs with a user in which context is maintained between turns, and the system manages the dialog to achieve an inferred goal for the user. The system includes a linguistic interface to a user and a parser for processing linguistic events from the user. A dialog manager of the system is configured to receive alternative outputs from the parser, and selecting an action and causing the action to be performed based on the received alternative outputs. The system further includes a dialog state for an interaction with the user, and the alternative outputs represent alternative transitions from a current dialog state to a next dialog state. The system further includes a storage for a plurality of templates, and wherein each dialog state is defined in terms of an interrelationship of one or more instances of the templates.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: April 30, 2019
    Assignee: Semantic Machines, Inc.
    Inventors: Jacob Daniel Andreas, Taylor Darwin Berg-Kirkpatrick, Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Michael Newman, Adam David Pauls, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak, Andrew Robert Volpe, Steven Andrew Wegmann
  • LATENT-SEGMENTATION INTONATION MODEL
    Publication number: 20170352344
    Abstract: The intonation model of the present technology disclosed herein assigns different words within a sentence to be prominent, analyzes multiple prominence possibilities (in some cases, all prominence possibilities), and learns parameters of the model using large amounts of data. Unlike previous systems, intonation patterns are discovered from data.
    Type: Application
    Filed: February 9, 2017
    Publication date: December 7, 2017
    Applicant: Semantic Machines, Inc.
    Inventors: Taylor Darwin Berg-Kirkpatrick, William Hui-Dee Chang, David Leo Wright Hall, Daniel Klein