Patents by Inventor Spencer B. Koehler

Spencer B. Koehler 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).

  • PRESENTING AUDIO/VIDEO RESPONSES BASED ON INTENT DERIVED FROM FEATURES OF AUDIO/VIDEO INTERACTIONS
    Publication number: 20230245454
    Abstract: Audio/video responses can be provided based on intent derived from features of audio/video interactions. By providing such audio/video responses, a consumer interaction agent can cause a consumer to experience an interactive conversation as good or better than communicating with a human.
    Type: Application
    Filed: January 31, 2023
    Publication date: August 3, 2023
    Inventors: Kreg Peeler, Spencer B. Koehler, Amir Ali Abdullah
  • Probabilistic system for natural language processing
    Patent number: 6556964
    Abstract: A natural language understanding system is described to provide generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, is implemented by means of a Bayesian network, and is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its “deep” or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics.
    Type: Grant
    Filed: July 23, 2001
    Date of Patent: April 29, 2003
    Assignee: IHC Health Services
    Inventors: Peter J. Haug, Spencer B. Koehler, Lee M. Christensen, Michael L. Gundersen, Rudy E. Van Bree
  • Probabilistic system for natural language processing
    Publication number: 20020128816
    Abstract: A natural language understanding system is described to provide generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, is implemented by means of a Bayesian network, and is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its “deep” or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics.
    Type: Application
    Filed: July 23, 2001
    Publication date: September 12, 2002
    Inventors: Peter J. Haug, Spencer B. Koehler, Lee M. Christensen, Michael L. Gundersen, Rudy E. Van Bree
  • Probabilistic method for natural language processing and for encoding free-text data into a medical database by utilizing a Bayesian network to perform spell checking of words
    Patent number: 6292771
    Abstract: A natural language understanding system is described which provides for the generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, in the preferred embodiment of the invention implemented by means of a Bayesian network, is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its “deep” or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics. In the preferred embodiment of the invention, spell checking and transformational processing as well as semantic analysis make use of semantic probabilistic determinations.
    Type: Grant
    Filed: September 30, 1998
    Date of Patent: September 18, 2001
    Assignee: IHC Health Services, Inc.
    Inventors: Peter J. Haug, Spencer B. Koehler, Lee M. Christensen, Michael L. Gundersen, Rudy E. Van Bree