Patents by Inventor John McCrae

John McCrae 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).

  • METHODS AND SYSTEMS FOR INTELLIGENT TEXT CLASSIFICATION WITH LIMITED OR NO TRAINING DATA
    Publication number: 20230074189
    Abstract: Methods and apparatuses are described for intelligent text classification with limited or no training data. A server computing device receives one or more of structured text or unstructured text corresponding to compliance text data from a database. The server computing device executes a trained few-shot natural language inference (NLI) classification model on one or more sentences in the received compliance text data to identify whether the one or more sentences comprise a compliance violation. The server computing device transmits the results of the model execution to a remote computing device.
    Type: Application
    Filed: August 19, 2022
    Publication date: March 9, 2023
    Inventors: Vall Herard, John Mariano, John McCrae, Jason Megaro
  • Building a knowledge base taxonomy from structured or unstructured computer text for use in automated user interactions
    Patent number: 11328707
    Abstract: Methods and apparatuses are described for building a knowledge base taxonomy from structured or unstructured computer text for use in automated user interactions. A server computing device receives one or more of structured text or unstructured text corresponding to historical user interaction data from a database. The server computing device extracts one or more terms from the received text that are most relevant to a subject matter domain. The server computing device organizes the extracted one or more terms into a taxonomy data structure.
    Type: Grant
    Filed: May 11, 2020
    Date of Patent: May 10, 2022
    Assignee: FMR LLC
    Inventors: Pranab Mohanty, Bianca De Oliveira Pereira, Cecile Robin, Tobias Daudert, John McCrae, Paul Buitelaar
  • BUILDING A KNOWLEDGE BASE TAXONOMY FROM STRUCTURED OR UNSTRUCTURED COMPUTER TEXT FOR USE IN AUTOMATED USER INTERACTIONS
    Publication number: 20200395001
    Abstract: Methods and apparatuses are described for building a knowledge base taxonomy from structured or unstructured computer text for use in automated user interactions. A server computing device receives one or more of structured text or unstructured text corresponding to historical user interaction data from a database. The server computing device extracts one or more terms from the received text that are most relevant to a subject matter domain. The server computing device organizes the extracted one or more terms into a taxonomy data structure.
    Type: Application
    Filed: May 11, 2020
    Publication date: December 17, 2020
    Inventors: Pranab Mohanty, Bianca De Oliveira Pereira, Cecile Robin, Tobias Daudert, John McCrae, Paul Buitelaar