Patents by Inventor Justine KAO

Justine KAO 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).

  • Named entity normalization in a spoken dialog system
    Patent number: 10839159
    Abstract: Systems and processes for processing natural language input are described. An example process for processing natural language input includes receiving a natural language input and determining a domain corresponding to the natural language input. The example process further includes, in accordance with determining the domain corresponding to the natural language input, determining, based on the natural language input, a first value for a first property of the domain and determining, based on a named entity model and the natural language input, a second value for the first property of the domain, where the second value defines a parameter for a task corresponding to the natural language input. The example process further includes performing the task based on the parameter and providing a result based on the performed task.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: November 17, 2020
    Assignee: Apple Inc.
    Inventors: Xiao Yang, Deepak Muralidharan, Justine Kao, Lin Li, Mubarak Ali Seyed Ibrahim, John G. Keesling, AtishKumar Kothari, Yingjie Zheng
  • Knowledge-based framework for improving natural language understanding
    Patent number: 10733375
    Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process receives natural language input and determines a first and a second parsing result for the natural language input. The first and the second parsing results include respective mappings of one or more properties of a domain corresponding to the natural language input to one or more words of the natural language input. The process determines whether the second parsing result corresponds to a data item in a knowledge base, and in accordance with determining that the second parsing result corresponds to the data item in the knowledge base, the process ranks the second parsing result higher than the first parsing result. Based on the ranking, the process generates a task flow using the second parsing result and executes the task flow to provide an output based on the data item.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: August 4, 2020
    Assignee: Apple Inc.
    Inventors: Lin Li, Deepak Muralidharan, Xiao Yang, Justine Kao, Lavanya Colinjivadi Viswanathan, Mubarak Ali Seyed Ibrahim, Ashish Garg
  • NAMED ENTITY NORMALIZATION IN A SPOKEN DIALOG SYSTEM
    Publication number: 20200104362
    Abstract: Systems and processes for processing natural language input are described. An example process for processing natural language input includes receiving a natural language input and determining a domain corresponding to the natural language input. The example process further includes, in accordance with determining the domain corresponding to the natural language input, determining, based on the natural language input, a first value for a first property of the domain and determining, based on a named entity model and the natural language input, a second value for the first property of the domain, where the second value defines a parameter for a task corresponding to the natural language input. The example process further includes performing the task based on the parameter and providing a result based on the performed task.
    Type: Application
    Filed: December 21, 2018
    Publication date: April 2, 2020
    Inventors: Xiao YANG, Deepak MURALIDHARAN, Justine KAO, Lin LI, Mubarak Ali SEYED IBRAHIM, John G. KEESLING, AtishKumar KOTHARI, Yingjie ZHENG
  • KNOWLEDGE-BASED FRAMEWORK FOR IMPROVING NATURAL LANGUAGE UNDERSTANDING
    Publication number: 20190236130
    Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process receives natural language input and determines a first and a second parsing result for the natural language input. The first and the second parsing results include respective mappings of one or more properties of a domain corresponding to the natural language input to one or more words of the natural language input. The process determines whether the second parsing result corresponds to a data item in a knowledge base, and in accordance with determining that the second parsing result corresponds to the data item in the knowledge base, the process ranks the second parsing result higher than the first parsing result. Based on the ranking, the process generates a task flow using the second parsing result and executes the task flow to provide an output based on the data item.
    Type: Application
    Filed: June 19, 2018
    Publication date: August 1, 2019
    Inventors: Lin LI, Deepak MURALIDHARAN, Xiao YANG, Justine KAO, Lavanya COLINJIVADI VISWANATHAN, Mubarak Ali Seyed IBRAHIM, Ashish GARG