Patents by Inventor Troy BIESTERFELD

Troy BIESTERFELD 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).

  • Inferring confidence and need for natural language processing of input data
    Patent number: 11010566
    Abstract: Improved data ingestion techniques are provided. A data set comprising records is received, where each record contains one or more fields. A group of fields is identified, where each of the fields has a common metadata attribute. Metrics are determined for the group based on metadata associated with each field, and weight values are assigned to each of the metrics. A natural language processing (NLP) measure and a discreteness measure are generated for the group of fields based on the metrics and the weight values. A processing workflow is selected to use when ingesting data from the group of fields into a corpus, based on comparing the NLP measure and the discreteness measure to one or more predefined thresholds, and each of the fields in the group of fields are processed using the processing workflow.
    Type: Grant
    Filed: May 22, 2018
    Date of Patent: May 18, 2021
    Assignee: International Business Machines Corporation
    Inventors: Troy Biesterfeld, Andrew R Freed, Elizabeth Teresa Dettman, Jeremy J Salsman, Paul R Chmielewski
  • INFERRING CONFIDENCE AND NEED FOR NATURAL LANGUAGE PROCESSING OF INPUT DATA
    Publication number: 20190361980
    Abstract: Improved data ingestion techniques are provided. A data set comprising records is received, where each record contains one or more fields. A group of fields is identified, where each of the fields has a common metadata attribute. Metrics are determined for the group based on metadata associated with each field, and weight values are assigned to each of the metrics. A natural language processing (NLP) measure and a discreteness measure are generated for the group of fields based on the metrics and the weight values. A processing workflow is selected to use when ingesting data from the group of fields into a corpus, based on comparing the NLP measure and the discreteness measure to one or more predefined thresholds, and each of the fields in the group of fields are processed using the processing workflow.
    Type: Application
    Filed: May 22, 2018
    Publication date: November 28, 2019
    Inventors: Troy BIESTERFELD, Andrew R FREED, Elizabeth Teresa DETTMAN, Jeremy J SALSMAN, Paul R CHMIELEWSKI