Patents by Inventor Diana Mingels

Diana Mingels 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).

  • Publication number: 20210027025
    Abstract: Machine classifiers in accordance with embodiments of the invention capture long-term temporal dependencies in particular tasks, such as turn-based dialogues. Machine classifiers may be used to help users to perform tasks indicated by the user. When a user utterance is received, natural language processing techniques may be used to understand the user's intent. Templates may be determined based on the user's intent in the generation of responses to solicit information from the user. A variety of persona attributes may be determined for a user. The persona attributes may be determined based on the user's utterances and/or provided as metadata included with the user's utterances. A response persona may be used to generate responses to the user's utterances such that the generated responses match a tone appropriate to the task. A response persona may be used to generate templates to solicit additional information and/or generate responses appropriate to the task.
    Type: Application
    Filed: July 22, 2020
    Publication date: January 28, 2021
    Inventors: Oluwatobi Olabiyi, Erik T. Mueller, Diana Mingels, Zachary Kulis
  • Publication number: 20200320982
    Abstract: Aspects described herein may relate to the determination of data that is indicative of a greater range of speech properties than input text data. The determined data may be used as input to one or more speech processing tasks, such as model training, model validation, model testing, or classification. For example, after a model is trained based on the determined data, the model's performance may exhibit more resilience to a wider range of speech properties. The determined data may include one or more modified versions of the input text data. The one or more modified versions may be associated with the one or more speakers or accents and/or may be associated with one or more levels of semantic similarity in relation to the input text data. The one or more modified versions may be determined based on one or more machine learning algorithms.
    Type: Application
    Filed: February 20, 2020
    Publication date: October 8, 2020
    Inventors: Christopher Larson, Tarek Aziz Lahlou, Diana Mingels, Zachary Kulis, Erik T. Mueller
  • Patent number: 10607598
    Abstract: Aspects described herein may relate to the determination of data that is indicative of a greater range of speech properties than input text data. The determined data may be used as input to one or more speech processing tasks, such as model training, model validation, model testing, or classification. For example, after a model is trained based on the determined data, the model's performance may exhibit more resilience to a wider range of speech properties. The determined data may include one or more modified versions of the input text data. The one or more modified versions may be associated with the one or more speakers or accents and/or may be associated with one or more levels of semantic similarity in relation to the input text data. The one or more modified versions may be determined based on one or more machine learning algorithms.
    Type: Grant
    Filed: July 25, 2019
    Date of Patent: March 31, 2020
    Assignee: Capital One Services, LLC
    Inventors: Christopher Larson, Tarek Aziz Lahlou, Diana Mingels, Zachary Kulis, Erik T. Mueller