Patents by Inventor Timothy Alexander Yates

Timothy Alexander Yates 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).

  • Natural language processing and machine learning for personalized tasks experience
    Patent number: 11010563
    Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for assisting with task completion are provided. A natural language input may be received. A natural language processing engine may be applied to the natural language input. A primary task associated with the natural language input may be identified. A plurality of subtasks for completing the primary task may be identified from the natural language input. A determination may be made from the natural language input that the primary task or one of the plurality of subtasks is more important than other tasks. The primary task and the plurality of subtasks may be added to a list of tasks in a task completion application. An indication of importance may be associated in the task completion application in association with the task or subtask that is determined to be more important.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: May 18, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Timothy Alexander Yates, Antonio José Consuegra Berruezo, Bernd Ingo Plontsch, Iurii Kondratiuk, Manjot Singh Pal, Selina Wang
  • NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING FOR PERSONALIZED TASKS EXPERIENCE
    Publication number: 20200364305
    Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for assisting with task completion are provided. A natural language input may be received. A natural language processing engine may be applied to the natural language input. A primary task associated with the natural language input may be identified. A plurality of subtasks for completing the primary task may be identified from the natural language input. A determination may be made from the natural language input that the primary task or one of the plurality of subtasks is more important than other tasks. The primary task and the plurality of subtasks may be added to a list of tasks in a task completion application. An indication of importance may be associated in the task completion application in association with the task or subtask that is determined to be more important.
    Type: Application
    Filed: May 16, 2019
    Publication date: November 19, 2020
    Inventors: Timothy Alexander Yates, Antonio José Consuegra Berruezo, Bernd Ingo Plontsch, Iurii Kondratiuk, Manjot Singh Pal, Selina Wang