Patents by Inventor Vedant Dharnidharka

Vedant Dharnidharka 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).

  • Publication number: 20230113491
    Abstract: The technology disclosed herein identifies claims made in electronic content items that are disputed. In a particular implementation, a method provides extracting first claims from language in a set of electronic content items and determining that a disputed claim of the first claims is disputed by one or more disputing entities. The method further includes storing claim information about the disputed claim in a repository. The claim information indicates the disputed claim, one or more supporting entities that support the disputed claim, and the disputing entities. The method also includes receiving analysis parameters from a user, wherein the claim information satisfies the analysis parameters. In response to receiving the analysis parameters, the method includes presenting at least a portion of the claim information to the user.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 13, 2023
    Inventors: Gregory P. Finley, John N. Bohannon, Vedant Dharnidharka, Nicholas R. Egan
  • Patent number: 10255265
    Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: April 9, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dinesh Chanra Das, Unmesh Tambwekar, Meng Khan Seah, Terence H. Lee, Srinivasu Geddam, Vedant Dharnidharka, Archit Shukla, Vivekanand Pandey
  • Publication number: 20180107653
    Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.
    Type: Application
    Filed: December 18, 2017
    Publication date: April 19, 2018
    Inventors: Dinesh Chanra Das, Unmesh Tambwekar, Meng Khan Seah, Terence H. Lee, Srinivasu Geddam, Vedant Dharnidharka, Archit Shukla, Vivekanand Pandey
  • Patent number: 9875235
    Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.
    Type: Grant
    Filed: October 5, 2016
    Date of Patent: January 23, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dinesh Chanra Das, Unmesh Tambwekar, Meng Khan Seah, Terence H. Lee, Srinivasu Geddam, Vedant Dharnidharka, Archit Shukla, Vivekanand Pandey