Patents by Inventor Michael Cordes

Michael Cordes 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).

  • TRAINING MACHINE LEARNING MODELS FOR OPEN-DOMAIN QUESTION ANSWERING SYSTEM
    Publication number: 20160217389
    Abstract: A method for training a machine learning model for open domain question answering includes receiving trained classifiers for question answering. The received trained classifiers are used to generate a set of candidate answers to a question. Second trained classifiers are used for scoring each of the candidate answers. The scoring indicates a measure of how well each candidate answer answers the question. Using the second trained classifiers for scoring each of the candidate answers includes comparing each candidate answer to a first ground truth corresponding to the question. A set of top-scoring candidate answers is presented to a human operator who marks each as correct or incorrect. The correct candidate answers are treated as additional ground truths for further training the first trained classifiers.
    Type: Application
    Filed: January 22, 2015
    Publication date: July 28, 2016
    Inventors: Michael Cordes, Tolga Oral, David Osofsky, Di Wang, Sara Weber
  • Training machine learning models for open-domain question answering system
    Patent number: 9384450
    Abstract: A method for training a machine learning model for open domain question answering includes receiving trained classifiers for question answering. The received trained classifiers are used to generate a set of candidate answers to a question. Second trained classifiers are used for scoring each of the candidate answers. The scoring indicates a measure of how well each candidate answer answers the question. Using the second trained classifiers for scoring each of the candidate answers includes comparing each candidate answer to a first ground truth corresponding to the question. A set of top-scoring candidate answers is presented to a human operator who marks each as correct or incorrect. The correct candidate answers are treated as additional ground truths for further training the first trained classifiers.
    Type: Grant
    Filed: January 22, 2015
    Date of Patent: July 5, 2016
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michael Cordes, Tolga Oral, David Osofsky, Di Wang, Sara Weber