Patents by Inventor Whitney Lige Clark

Whitney Lige Clark 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).

  • Generating a consistently labeled training dataset by automatically generating and displaying a set of most similar previously-labeled texts and their previously assigned labels for each text that is being labeled for the training dataset
    Patent number: 10789533
    Abstract: Technology for generating a consistently labeled training dataset. For each one of multiple previously labeled texts, a distance between the previously labeled text and a current text to be labeled is generated by comparing a list of tokens for the previously labeled text to a list of tokens for the current text to determine an overlap value equal to a number of tokens that match between the list of tokens for the previously labeled text and the list of tokens for the current text, and using the overlap value to calculate a distance between the previously labeled text and the current text that is inversely correlated to the overlap value. Previously labeled texts that are most similar to the current text are identified as those previously labeled texts having the shortest distances to the current text, and are displayed with their previously assigned labels in a label selection user interface.
    Type: Grant
    Filed: July 26, 2017
    Date of Patent: September 29, 2020
    Assignee: LogMeln, Inc.
    Inventors: Whitney Lige Clark, Ashish V. Thapliyal, Christfried Focke, Alexander John Huitric, Yogesh Moorjani
  • GENERATING A CONSISTENTLY LABELED TRAINING DATASET BY AUTOMATICALLY GENERATING AND DISPLAYING A SET OF MOST SIMILAR PREVIOUSLY-LABELED TEXTS AND THEIR PREVIOUSLY ASSIGNED LABELS FOR EACH TEXT THAT IS BEING LABELED FOR THE TRAINING DATASET
    Publication number: 20190034807
    Abstract: Technology for generating a consistently labeled training dataset. For each one of multiple previously labeled texts, a distance between the previously labeled text and a current text to be labeled is generated by comparing a list of tokens for the previously labeled text to a list of tokens for the current text to determine an overlap value equal to a number of tokens that match between the list of tokens for the previously labeled text and the list of tokens for the current text, and using the overlap value to calculate a distance between the previously labeled text and the current text that is inversely correlated to the overlap value. Previously labeled texts that are most similar to the current text are identified as those previously labeled texts having the shortest distances to the current text, and are displayed with their previously assigned labels in a label selection user interface.
    Type: Application
    Filed: July 26, 2017
    Publication date: January 31, 2019
    Inventors: Whitney Lige Clark, Ashish V. Thapliyal, Christfried Focke, Alexander John Huitric, Yogesh Moorjani