Patents by Inventor Charles A. Liscomb

Charles A. Liscomb 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).

  • Combining multiclass classifiers with regular expression based binary classifiers
    Patent number: 11140266
    Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: October 5, 2021
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Farid Khafizov, Vittal N. Gunturu, Charles A. Liscomb, Travis R. McLaren, Wade W. Hiney
  • COMBINING MULTICLASS CLASSIFIERS WITH REGULAR EXPRESSION BASED BINARY CLASSIFIERS
    Publication number: 20210044697
    Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to obtain a text file generated based on a communication session; select topics for classifying communication sessions; and apply one or more trained machine learning models to the obtained text file to determine one or more most likely topics for the communication session. The processor may be further configured to apply regular expression binary classifiers, each associated with a different topic, to the obtained text file to determine a likelihood the communication session is associated with a particular topic; select a topic for the communication session based on the determined one or more most likely topics and the determined likelihood the communication session is associated with the particular topic; and classify the communication session based on the selected topic.
    Type: Application
    Filed: August 8, 2019
    Publication date: February 11, 2021
    Inventors: Farid Khafizov, Vittal N. Gunturu, Charles A. Liscomb, Travis R. McLaren, Wade W. Hiney