Patents by Inventor Erik T. Mueller

Erik T. Mueller 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: 10685358
    Abstract: Consistent with the disclosed embodiments, systems and methods are provided herein for autonomously generating a thoughtful gesture for a customer. In one example implementation of the disclosed technology, a method is provided that includes receiving incoming customer dialogue and determining, based on the customer dialogue, customer information including one or more of: customer preferences, customer biographical information, and customer current life circumstances. The method also includes generating, based on the customer information, gesture-specific information-eliciting utterances for additional dialogue with the customer and identifying one or more response opportunities based on additional incoming customer dialogue responsive to sending the gesture-specific information-eliciting utterances to the customer. Further, the method includes generating a thoughtful gesture based on the identified one or more response opportunities and outputting, for presentation to the customer, the thoughtful gesture.
    Type: Grant
    Filed: June 4, 2018
    Date of Patent: June 16, 2020
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Alexandra Coman, Erik T. Mueller, Margaret Mayer
  • Publication number: 20200151583
    Abstract: A method, system, and article. A non-transitory computer-readable storage medium may include computer-readable program code executable by a processor to: determine a set of customer concerns by a set of AI engines executing on the processor, the set of customer concerns based upon customer input from a customer, the customer input being received by one of: an interactive voice response system, a phone system, a short message service system, an email message, and a data network. The computer-readable program code may be executable to generate an acknowledgment of the set of customer concerns, by the AI engines executing on the processor; and perform a problem-solving cycle, based upon the set of customer concerns. The performing of the problem-solving cycle may include adapting a solution to an obstacle identified in the set of customer concerns; suggesting an alternative solution to the customer; and narrating a set of actions taken during the problem-solving cycle.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 14, 2020
    Applicant: Capital One Services, LLC
    Inventors: Erik T. MUELLER, Alexandra COMAN
  • 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
  • Publication number: 20200089677
    Abstract: A method, computer system, and computer program product for decision support is provided. The present invention may include receiving a problem case information and generating a query based on the problem case information. The present invention may also include generating a plurality of answers for the query using the question-answering module. The present invention may also include calculating numerical values for multiple evidence dimensions from evidence sources for each of the answers using the question-answering module and may further include calculating a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module. The present invention may also include outputting the generated answers, the corresponding confidence values, and the numerical values of each evidence dimension for one or more selected answers using the input/output module.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Patent number: 10515073
    Abstract: A decision-support system for medical diagnosis and treatment comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives patient case information using the input/output module, and generates a medical diagnosis or treatment query based on the patient case information and also generates a plurality of medical diagnosis or treatment answers for the query using the question-answering module. The method also calculates numerical values for multiple medical evidence dimensions from medical evidence sources for each of the answers using the question-answering module and also calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: December 24, 2019
    Assignee: International Business Machines Corporation
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Publication number: 20190385609
    Abstract: Systems and methods for generating responses to user input such as dialogues, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.
    Type: Application
    Filed: August 29, 2019
    Publication date: December 19, 2019
    Applicant: Capital One Services,LLC
    Inventors: Oluwatobi OLABIYI, Erik T. Mueller
  • Patent number: 10510002
    Abstract: Aspects described herein may allow for the application of stochastic gradient boosting techniques to the training of deep neural networks by disallowing gradient back propagation from examples that are correctly classified by the neural network model while still keeping correctly classified examples in the gradient averaging. Removing the gradient contribution from correctly classified examples may regularize the deep neural network and prevent the model from overfitting. Further aspects described herein may provide for scheduled boosting during the training of the deep neural network model conditioned on a mini-batch accuracy and/or a number of training iterations. The model training process may start un-boosted, using maximum likelihood objectives or another first loss function.
    Type: Grant
    Filed: February 14, 2019
    Date of Patent: December 17, 2019
    Assignee: Capital One Services, LLC
    Inventors: Oluwatobi Olabiyi, Erik T. Mueller, Christopher Larson
  • Patent number: 10510003
    Abstract: Aspects described herein may allow for the application of stochastic gradient boosting techniques to the training of deep neural networks by disallowing gradient back propagation from examples that are correctly classified by the neural network model while still keeping correctly classified examples in the gradient averaging. Removing the gradient contribution from correctly classified examples may regularize the deep neural network and prevent the model from overfitting. Further aspects described herein may provide for scheduled boosting during the training of the deep neural network model conditioned on a mini-batch accuracy and/or a number of training iterations. The model training process may start un-boosted, using maximum likelihood objectives or another first loss function.
    Type: Grant
    Filed: March 5, 2019
    Date of Patent: December 17, 2019
    Assignee: Capital One Services, LLC
    Inventors: Oluwatobi Olabiyi, Erik T. Mueller, Christopher Larson
  • Publication number: 20190272547
    Abstract: Consistent with the disclosed embodiments, systems and methods are provided herein for autonomously generating a thoughtful gesture for a customer. In one example implementation of the disclosed technology, a method is provided that includes receiving incoming customer dialogue and determining, based on the customer dialogue, customer information including one or more of: customer preferences, customer biographical information, and customer current life circumstances. The method also includes generating, based on the customer information, gesture-specific information-eliciting utterances for additional dialogue with the customer and identifying one or more response opportunities based on additional incoming customer dialogue responsive to sending the gesture-specific information-eliciting utterances to the customer. Further, the method includes generating a thoughtful gesture based on the identified one or more response opportunities and outputting, for presentation to the customer, the thoughtful gesture.
    Type: Application
    Filed: June 4, 2018
    Publication date: September 5, 2019
    Inventors: Alexandra Coman, Erik T. Mueller, Margaret Mayer
  • Patent number: 10403284
    Abstract: Systems and methods for generating responses to user input such as dialogs, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: September 3, 2019
    Assignee: Capital Services, LLC
    Inventors: Oluwatobi Olabiyi, Erik T. Mueller
  • Publication number: 20190244609
    Abstract: Systems and methods for generating responses to user input such as dialogues, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.
    Type: Application
    Filed: November 5, 2018
    Publication date: August 8, 2019
    Applicant: Capital One Services, LLC
    Inventors: Oluwatobi OLABIYI, Erik T. Mueller
  • Patent number: 10152970
    Abstract: Systems and methods for generating responses to user input such as dialogs, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.
    Type: Grant
    Filed: February 8, 2018
    Date of Patent: December 11, 2018
    Assignee: Capital One Services, LLC
    Inventors: Oluwatobi Olabiyi, Erik T. Mueller
  • Publication number: 20180025127
    Abstract: A decision-support system for medical diagnosis and treatment comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives patient case information using the input/output module, and generates a medical diagnosis or treatment query based on the patient case information and also generates a plurality of medical diagnosis or treatment answers for the query using the question-answering module. The method also calculates numerical values for multiple medical evidence dimensions from medical evidence sources for each of the answers using the question-answering module and also calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module.
    Type: Application
    Filed: September 26, 2017
    Publication date: January 25, 2018
    Applicant: International Business Machines Corporation
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Patent number: 9483731
    Abstract: In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output.
    Type: Grant
    Filed: December 11, 2012
    Date of Patent: November 1, 2016
    Assignee: International Business Machines Corporation
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Patent number: 9378273
    Abstract: A computer-implemented method of answering questions. A word problem is received into a user interface of a question-answering (QA) system operating on a computerized device having a processor. The word problem comprises a question and contextual phrases providing context for the question. The question is parsed from the word problem, using a parsing function of the processor. The contextual phrases are parsed from the word problem, using the parsing function of the processor. A type is identified for the question, using a typing function of the processor. A phrase is identified in the question having the same type as the question. A reformulated question is produced by replacing the phrase in the question having the same type as the question with a contextual phrase. The reformulated question is input to the QA system. Answers to the reformulated question are received from the QA system.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: June 28, 2016
    Assignee: International Business Machines Corporation
    Inventors: Jennifer Chu-Carroll, Adam P. Lally, Erik T. Mueller
  • Patent number: 9299024
    Abstract: In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output.
    Type: Grant
    Filed: December 11, 2012
    Date of Patent: March 29, 2016
    Assignee: International Business Machines Corporation
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Publication number: 20150261849
    Abstract: A computer-implemented method of answering questions. A word problem is received into a user interface of a question-answering (QA) system operating on a computerized device having a processor. The word problem comprises a question and contextual phrases providing context for the question. The question is parsed from the word problem, using a parsing function of the processor. The contextual phrases are parsed from the word problem, using the parsing function of the processor. A type is identified for the question, using a typing function of the processor. A phrase is identified in the question having the same type as the question. A reformulated question is produced by replacing the phrase in the question having the same type as the question with a contextual phrase. The reformulated question is input to the QA system. Answers to the reformulated question are received from the QA system.
    Type: Application
    Filed: March 13, 2014
    Publication date: September 17, 2015
    Applicant: International Business Machines Corporation
    Inventors: Jennifer Chu-Carroll, Adam P. Lally, Erik T. Mueller
  • Patent number: 9002773
    Abstract: A decision-support system for problem solving comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives problem case information using the input/output module, generates a query based on the problem case information, and generates a plurality of answers for the query using the question-answering module. The method also calculates numerical values for multiple evidence dimensions from evidence sources for each of the answers using the question-answering module and calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module. Further, the method outputs the answers, the corresponding confidence values, and the numerical values of each evidence dimension for one or more selected answers using the input/output module.
    Type: Grant
    Filed: March 31, 2011
    Date of Patent: April 7, 2015
    Assignee: International Business Machines Corporation
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T Mueller
  • Publication number: 20140164304
    Abstract: In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output.
    Type: Application
    Filed: December 11, 2012
    Publication date: June 12, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller
  • Publication number: 20140164303
    Abstract: In a method of answering questions and scoring answers, a title and at least one topical field are identified for a document. A field name and field content associated with the topical field is identified, and a title-oriented document is created by combining the title, the field name, and the field content associated with the topical field. For each title-oriented document, a term in the title is matched to previously established categories to produce a title concept identifier. The topical field is synthesized to produce a field concept identifier and a field content concept identifier. A question is received. The question topic term and the question content identifier are used to identify at least one question-matching relation instance. The title concept identifier of each question-matching relation instance is identified as a candidate answer to the question. Each candidate answer and a corresponding answer score is output.
    Type: Application
    Filed: December 11, 2012
    Publication date: June 12, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sugato Bagchi, David A. Ferrucci, Anthony T. Levas, Erik T. Mueller