Patents by Inventor Xiaohu Derek Liu

Xiaohu Derek Liu 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).

  • Methods for understanding incomplete natural language query
    Patent number: 9767091
    Abstract: Analysis of incomplete natural language expressions using n-gram analysis and contextual information allows one or more domains to be predicted. For each domain, intent a likely intent of the user is determined using n-gram analysis and contextual information. Intent may correspond to functions of a domain application. In such a case, information required for the functions to execute the application may be populated using n-gram analysis and/or contextual information. The application may then be presented to the user for confirmation of intent. Confirmation of intent along with the incomplete natural language expression and contextual information may then be used to train one or more models used to predict user intent based on incomplete natural language expressions.
    Type: Grant
    Filed: February 13, 2015
    Date of Patent: September 19, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Xiaohu Derek Liu
  • METHODS FOR UNDERSTANDING INCOMPLETE NATURAL LANGUAGE QUERY
    Publication number: 20160217124
    Abstract: Analysis of incomplete natural language expressions using n-gram analysis and contextual information allows one or more domains to be predicted. For each domain, intent a likely intent of the user is determined using n-gram analysis and contextual information. Intent may correspond to functions of a domain application. In such a case, information required for the functions to execute the application may be populated using n-gram analysis and/or contextual information. The application may then be presented to the user for confirmation of intent. Confirmation of intent along with the incomplete natural language expression and contextual information may then be used to train one or more models used to predict user intent based on incomplete natural language expressions.
    Type: Application
    Filed: February 13, 2015
    Publication date: July 28, 2016
    Inventors: Ruhi Sarikaya, Xiaohu Derek Liu