Patents by Inventor Christopher Ryan GERMAIN

Christopher Ryan GERMAIN 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 training and deploying natural language understanding models
    Patent number: 12482454
    Abstract: The present disclosure describes an electronic device. The electronic device includes a memory and a processor. The processor is configured to provide an utterance to an NLU model, which selects an intent from the list of intents based on the utterance. The processor is also configured to cause a response to the utterance to be provided to a user based on the selected intent. The NLU may be trained by obtaining a dataset comprising one or more words, generating a list of intents based at least in part on the dataset, grouping the list of intents into one or more domains, generating a list of training utterances for each intent in the list of intents, and modifying one or more parameters of the NLU model based on the list of intents, the list of training utterances, and/or the one or more domains.
    Type: Grant
    Filed: August 10, 2023
    Date of Patent: November 25, 2025
    Assignee: Fifth Third Bank
    Inventors: Arthur Eladio Weston, Samuel Davis Edison, Christopher Ryan Germain, Sarah Elizabeth Rossi
  • METHODS AND SYSTEMS FOR TRAINING AND DEPLOYING NATURAL LANGUAGE UNDERSTANDING MODELS
    Publication number: 20250054493
    Abstract: The present disclosure describes an electronic device. The electronic device includes a memory and a processor. The processor is configured to provide an utterance to an NLU model, which selects an intent from the list of intents based on the utterance. The processor is also configured to cause a response to the utterance to be provided to a user based on the selected intent. The NLU may be trained by obtaining a dataset comprising one or more words, generating a list of intents based at least in part on the dataset, grouping the list of intents into one or more domains, generating a list of training utterances for each intent in the list of intents, and modifying one or more parameters of the NLU model based on the list of intents, the list of training utterances, and/or the one or more domains.
    Type: Application
    Filed: August 10, 2023
    Publication date: February 13, 2025
    Inventors: Arthur Eladio WESTON, Samuel Davis EDISON, Christopher Ryan GERMAIN, Sarah Elizabeth ROSSI