Patents by Inventor Steven D. Werner

Steven D. Werner 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).

  • Question answering models in closed domains
    Patent number: 11914967
    Abstract: Discussed herein are devices, systems, and methods for determining an answer to a natural language question. A method can include receiving a question and a passage to be used to answer the question and executing (i) a first trained ML model, based on the passage and the question and in response to determining that the question, passage, or a combination thereof includes more than a first threshold number of out of vocabulary (OOV) words, relative to a general purpose language ML model, to generate a first answer to the question or (ii) executing a second trained ML model, based on the passage and the question and in response to determining the question, passage, or a combination thereof includes less than the first threshold number of out of vocabulary (OOV) words, relative to the general purpose language ML model, to generate a second answer to the question.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: February 27, 2024
    Assignee: Raytheon Company
    Inventors: Steven D. Werner, Robert D. Stell, Christine Nezda, Kevin C. Holley
  • QUESTION ANSWERING MODELS IN CLOSED DOMAINS
    Publication number: 20210406479
    Abstract: Discussed herein are devices, systems, and methods for determining an answer to a natural language question. A method can include receiving a question and a passage to be used to answer the question and executing (i) a first trained ML model, based on the passage and the question and in response to determining that the question, passage, or a combination thereof includes more than a first threshold number of out of vocabulary (OOV) words, relative to a general purpose language ML model, to generate a first answer to the question or (ii) executing a second trained ML model, based on the passage and the question and in response to determining the question, passage, or a combination thereof includes less than the first threshold number of out of vocabulary (OOV) words, relative to the general purpose language ML model, to generate a second answer to the question.
    Type: Application
    Filed: June 26, 2020
    Publication date: December 30, 2021
    Inventors: Steven D. Werner, Robert D. Stell, Christine Nezda, Kevin C. Holley