Patents by Inventor Pradeep Dasigi

Pradeep Dasigi 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).

  • Patent number: 10909969
    Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: February 2, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jason Douglas Williams, Nobal Bikram Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Geoffrey G. Zweig, Andrey Kolobov, Carlos Garcia Jurado Suarez, David Maxwell Chickering
  • Publication number: 20200020317
    Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.
    Type: Application
    Filed: September 25, 2019
    Publication date: January 16, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Jason Douglas WILLIAMS, Nobal Bikram NIRAULA, Pradeep DASIGI, Aparna LAKSHMIRATAN, Geoffrey G. ZWEIG, Andrey KOLOBOV, Carlos GARCIA JURADO SUAREZ, David Maxwell CHICKERING
  • Patent number: 10460720
    Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.
    Type: Grant
    Filed: April 3, 2015
    Date of Patent: October 29, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Jason Douglas Williams, Nobal Bikram Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Geoffrey G. Zweig, Andrey Kolobov, Carlos Garcia Jurado Suarez, David Maxwell Chickering
  • Publication number: 20160196820
    Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.
    Type: Application
    Filed: April 3, 2015
    Publication date: July 7, 2016
    Applicant: Microsoft Technology Licensing, LLC.
    Inventors: Jason Douglas Williams, Nobal Bikram Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Geoffrey G. Zweig, Andrey Kolobov, Carlos Garcia Jurado Suarez, David Maxwell Chickering