Patents by Inventor Anthony Shewnarain

Anthony Shewnarain 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: 20240119521
    Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.
    Type: Application
    Filed: December 20, 2023
    Publication date: April 11, 2024
    Inventors: Minnie Virk, Rohan Mehta, Alberto Silva, Anthony Shewnarain, Steven Freeman, Stephen Jurcsek, Leah Lewy, Ross Arkin
  • Patent number: 11893632
    Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.
    Type: Grant
    Filed: January 6, 2021
    Date of Patent: February 6, 2024
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Minnie Virk, Rohan Mehta, Alberto Silva, Anthony Shewnarain, Steven Freeman, Stephen Jurcsek, Leah Lewy, Ross Arkin
  • Publication number: 20220215467
    Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.
    Type: Application
    Filed: January 6, 2021
    Publication date: July 7, 2022
    Inventors: Minnie Virk, Rohan Mehta, Alberto Silva, Anthony Shewnarain, Steven Freeman, Stephen Jurcsek, Leah Lewy, Ross Arkin