Patents by Inventor Kenneth Robert Voorhees

Kenneth Robert Voorhees 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).

  • Apparatus for automatic theme detection from unstructured data
    Patent number: 10372741
    Abstract: This apparatus provides a system and method of determining significant repeating themes in a collection of documents. The apparatus operates unsupervised and leverages a natural language processing mechanism supported with lexicon, synonym and taxonomy dictionaries to determine themes and establish their relevance using a two-level hierarchical structure. The apparatus also assigns meaningful names to identified themes and determines a set of rules that describe the theme such that it can be applied to categorize other documents outside of the collection as well.
    Type: Grant
    Filed: March 1, 2013
    Date of Patent: August 6, 2019
    Assignee: Clarabridge, Inc.
    Inventors: Thomas Mathew, Kenneth Robert Voorhees
  • Apparatus for identifying root cause using unstructured data
    Patent number: 9477749
    Abstract: A system and method of identifying root cause of an observation by leveraging features from unstructured data is disclosed. A report generation component may be configured to generate a report. A report presentation component may be configured to allow an operator to select an observation from the report. A root cause component may be configured to determine one or more causal factors associated with the observation.
    Type: Grant
    Filed: March 1, 2013
    Date of Patent: October 25, 2016
    Assignee: CLARABRIDGE, INC.
    Inventors: Thomas Mathew, Kenneth Robert Voorhees
  • APPARATUS FOR AUTOMATIC THEME DETECTION FROM UNSTRUCTURED DATA
    Publication number: 20130268534
    Abstract: This apparatus provides a system and method of determining significant repeating themes in a collection of documents. The apparatus operates unsupervised and leverages a natural language processing mechanism supported with lexicon, synonym and taxonomy dictionaries to determine themes and establish their relevance using a two-level hierarchical structure. The apparatus also assigns meaningful names to identified themes and determines a set of rules that describe the theme such that it can be applied to categorize other documents outside of the collection as well.
    Type: Application
    Filed: March 1, 2013
    Publication date: October 10, 2013
    Applicant: Clarabridge, Inc.
    Inventors: Thomas Mathew, Kenneth Robert Voorhees
  • APPARATUS FOR IDENTIFYING ROOT CAUSE USING UNSTRUCTURED DATA
    Publication number: 20130231920
    Abstract: A system and method of identifying root cause of an observation by leveraging features from unstructured data is disclosed. A report generation component may be configured to generate a report. A report presentation component may be configured to allow an operator to select an observation from the report. A root cause component may be configured to determine one or more causal factors associated with the observation.
    Type: Application
    Filed: March 1, 2013
    Publication date: September 5, 2013
    Applicant: Clarabridge, Inc.
    Inventors: Thomas Mathew, Kenneth Robert Voorhees