Patents by Inventor Stephen Land Stewart

Stephen Land Stewart 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).

  • Deep learning systems and methods to disambiguate false positives in natural language processing analytics
    Patent number: 12197855
    Abstract: Embodiments improve a document classification system by adjusting the class vector of each class based on embedded vectors of documents known to have been misclassified by the system. Embodiments methods of adjusting the class vector may be described as machine learning.
    Type: Grant
    Filed: March 14, 2022
    Date of Patent: January 14, 2025
    Assignee: Nuix Limited
    Inventors: Oleksandr Iakovenko, William Kelly, Stephen Land Stewart
  • Deep Learning Systems and Methods to Disambiguate False Positives in Natural Language Processing Analytics
    Publication number: 20230289522
    Abstract: Embodiments improve a document classification system by adjusting the class vector of each class based on embedded vectors of documents known to have been misclassified by the system. Embodiments methods of adjusting the class vector may be described as machine learning.
    Type: Application
    Filed: March 14, 2022
    Publication date: September 14, 2023
    Inventors: Oleksandr Iakovenko, William Kelly, Stephen Land Stewart
  • Deep Learning Systems and Methods to Disambiguate False Positives in Natural Language Processing Analytics
    Publication number: 20230289531
    Abstract: Embodiments improve a document classification system by adjusting the class vector of each class based on embedded vectors of documents known to have been misclassified by the system. Some embodiments use a set of misclassified documents to adjust the class vector of the class into which a document has been misclassified. Some embodiments use a set of misclassified documents to adjust the class vector of the pre-assigned class of each misclassified document. Embodiments of adjusting the class vector may be described as machine learning.
    Type: Application
    Filed: March 14, 2023
    Publication date: September 14, 2023
    Inventors: Oleksandr Iakovenko, William Kelly, Stephen Land Stewart