Patents by Inventor Swadheen Kumar SHUKLA

Swadheen Kumar SHUKLA 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: 11961509
    Abstract: Methods and systems are disclosed for improving dialog management for task-oriented dialog systems. The disclosed dialog builder leverages machine teaching processing to improve development of dialog managers. In this way, the dialog builder combines the strengths of both rule-based and machine-learned approaches to allow dialog authors to: (1) import a dialog graph developed using popular dialog composers, (2) convert the dialog graph to text-based training dialogs, (3) continuously improve the trained dialogs based on log dialogs, and (4) generate a corrected dialog for retraining the machine learning.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: April 16, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Swadheen Kumar Shukla, Lars Hasso Liden, Thomas Park, Matthew David Mazzola, Shahin Shayandeh, Jianfeng Gao, Eslam Kamal Abdelreheem
  • Publication number: 20230153348
    Abstract: Systems and methods are provided for determining a response to a query in a dialog. An entity extractor extracts rules and conditions associated with the query and determines a particular task. The disclosed technology generates a transformer-based dialog embedding by pre-training a transformer using dialog corpora including a plurality of tasks. A task-specific classifier generates a first set of candidate responses based on rules and conditions associated with the task. The transformer-based dialog embedding generates a second set of candidate responses to the query. The classifier accommodates changes made to a task by an interactive dialog editor as machine teaching. A response generator generates a response based on the first and second sets of candidate responses using an optimization function.
    Type: Application
    Filed: November 15, 2021
    Publication date: May 18, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Jinchao LI, Lars H. LIDEN, Baolin PENG, Thomas PARK, Swadheen Kumar SHUKLA, Jianfeng GAO
  • Publication number: 20210312904
    Abstract: Methods and systems are disclosed for improving dialog management for task-oriented dialog systems. The disclosed dialog builder leverages machine teaching processing to improve development of dialog managers. In this way, the dialog builder combines the strengths of both rule-based and machine-learned approaches to allow dialog authors to: (1) import a dialog graph developed using popular dialog composers, (2) convert the dialog graph to text-based training dialogs, (3) continuously improve the trained dialogs based on log dialogs, and (4) generate a corrected dialog for retraining the machine learning.
    Type: Application
    Filed: April 3, 2020
    Publication date: October 7, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Swadheen Kumar SHUKLA, Lars Hasso LIDEN, Thomas PARK, Matthew David MAZZOLA, Shahin SHAYANDEH, Jianfeng GAO, Eslam Kamal ABDELREHEEM