Patents by Inventor Skyler Grammer

Skyler Grammer 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).

  • Patent number: 12236190
    Abstract: Disclosed herein are computer-implemented methods for intelligent phrase generation. Example methods include acquiring a bulk data input that includes one or more seed phrases that are requested for derivation, inputting the bulk data input into a model, and returning an arrangement result to a user. The model is configured to determine one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase. The model is configured to determine one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases. The model is configured to determine a characteristic of the respective seed phrase, the one or more arrangement corresponding to the characteristic of the respective seed phrase.
    Type: Grant
    Filed: April 23, 2022
    Date of Patent: February 25, 2025
    Assignee: Calabrio, Inc.
    Inventors: Kyle Smaagard, Matt Matsui, Boris Chaplin, Paul Gordon, Dylan Morgan, Skyler Grammer, Chris Vanciu
  • Publication number: 20220343071
    Abstract: Disclosed herein are computer-implemented methods for intelligent phrase generation. Example methods include acquiring a bulk data input that includes one or more seed phrases that are requested for derivation, inputting the bulk data input into a model, and returning an arrangement result to a user. The model is configured to determine one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase. The model is configured to determine one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases. The model is configured to determine a characteristic of the respective seed phrase, the one or more arrangement corresponding to the characteristic of the respective seed phrase.
    Type: Application
    Filed: April 23, 2022
    Publication date: October 27, 2022
    Inventors: Kyle Smaagard, Matt Matsui, Boris Chaplin, Paul Gordon, Dylan Morgan, Skyler Grammer, Chris Vanciu
  • Publication number: 20220335225
    Abstract: Disclosed herein are devices, systems, and computer-implemented methods for intelligent conversational intent detection. Example methods include acquiring a conversational transcript input that is requested for intent detection, inputting the conversational transcript input into a model configured to decipher a conversational intent segment, and returning to a user the conversational intent segment. The conversational transcript input can include one or more conversational transcript segments. The conversational intent segment can correspond to which of the one or more conversational transcript segments is likely to indicate a conversational intent of the conversational transcript input based on the intent detection.
    Type: Application
    Filed: April 19, 2022
    Publication date: October 20, 2022
    Inventors: Skyler Grammer, Dylan Morgan, Paul Gordon, Chris Vanciu, Kyle Smaagard, Matt Matsui, Boris Chaplin