Patents by Inventor Kay Mueller

Kay 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: 9607035
    Abstract: Mechanisms are provided for validating a candidate answer to an input question. A candidate answer to an input question is identified using a natural language processing of the input question and a corpus of information from which the candidate answer is identified. A validator is selected to apply to the candidate answer based on a characteristic of a correct answer for the input question. The validator is applied to the candidate answer to evaluate whether or not criteria of the validator are met by the candidate answer. Validation information is generated based the evaluation of whether or not criteria of the validator are met by the candidate answer. The validation information is stored in a validation status object associated with the input question.
    Type: Grant
    Filed: May 21, 2014
    Date of Patent: March 28, 2017
    Assignee: International Business Machines Corporation
    Inventors: Corville O. Allen, Ian M. Bennett, Torsten Bittner, Kay Mueller
  • Publication number: 20160283468
    Abstract: Mechanisms are provided for performing context based synonym filtering for natural language processing. Content is parsed into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept. For each conceptual unit, a term in the conceptual unit is identified that has a synonym to be utilized during natural language processing of the content. A first measure of relatedness of the term to at least one other term in the conceptual unit is determined. A second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit is determined. A determination whether or not to utilize the synonym when performing natural language processing on the conceptual unit is made based on the first and second measures of relatedness and natural language processing on the content is performed accordingly.
    Type: Application
    Filed: June 3, 2016
    Publication date: September 29, 2016
    Inventors: KAY MUELLER, CHRISTOPHER M. NOLAN, WILLIAM G. VISOTSKI, DAVID E. WILSON
  • Patent number: 9378204
    Abstract: Mechanisms are provided for performing context based synonym filtering for natural language processing. Content is parsed into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept. For each conceptual unit, a term in the conceptual unit is identified that has a synonym to be utilized during natural language processing of the content. A first measure of relatedness of the term to at least one other term in the conceptual unit is determined. A second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit is determined. A determination whether or not to utilize the synonym when performing natural language processing on the conceptual unit is made based on the first and second measures of relatedness and natural language processing on the content is performed accordingly.
    Type: Grant
    Filed: May 22, 2014
    Date of Patent: June 28, 2016
    Assignee: International Business Machines Corporation
    Inventors: Kay Mueller, Christopher M. Nolan, William G. Visotski, David E. Wilson
  • Publication number: 20160171092
    Abstract: An approach is provided in which a knowledge manager generates term tokens from terms included in an original text stream, and generates annotation tokens with corresponding term location information. In turn, the knowledge manager generates a knowledge structure that indexes the term tokens into original text fields and indexes the annotation tokens into parallel fields that align to the original text fields based upon the term location information.
    Type: Application
    Filed: December 13, 2014
    Publication date: June 16, 2016
    Inventors: Kay Mueller, Christopher M. Nolan, William G. Visotski, David E. Wilson
  • Publication number: 20150339574
    Abstract: Mechanisms are provided for validating a candidate answer to an input question. A candidate answer to an input question is identified using a natural language processing of the input question and a corpus of information from which the candidate answer is identified. A validator is selected to apply to the candidate answer based on a characteristic of a correct answer for the input question. The validator is applied to the candidate answer to evaluate whether or not criteria of the validator are met by the candidate answer. Validation information is generated based the evaluation of whether or not criteria of the validator are met by the candidate answer. The validation information is stored in a validation status object associated with the input question.
    Type: Application
    Filed: May 21, 2014
    Publication date: November 26, 2015
    Applicant: International Business Machines Corporation
    Inventors: Corville O. Allen, Ian M. Bennett, Torsten Bittner, Kay Mueller
  • Publication number: 20150339290
    Abstract: Mechanisms are provided for performing context based synonym filtering for natural language processing. Content is parsed into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept. For each conceptual unit, a term in the conceptual unit is identified that has a synonym to be utilized during natural language processing of the content. A first measure of relatedness of the term to at least one other term in the conceptual unit is determined. A second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit is determined. A determination whether or not to utilize the synonym when performing natural language processing on the conceptual unit is made based on the first and second measures of relatedness and natural language processing on the content is performed accordingly.
    Type: Application
    Filed: May 22, 2014
    Publication date: November 26, 2015
    Applicant: International Business Machines Corporation
    Inventors: Kay Mueller, Christopher M. Nolan, William G. Visotski, David E. Wilson