Patents by Inventor Robert J. Harlow

Robert J. Harlow 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).

  • System and method to provide warnings associated with natural language searches to determine intended actions and accidental omissions
    Patent number: 8074171
    Abstract: A method for providing notification of content potentially omitted from within an active document in a document preparation application comprises defining a natural language model for a set of phrasal forms associating each phrasal form with a content type; parsing a textual content of the active document to generate one or more natural language tokens; accessing the natural language model to identify each of the one or more natural language tokens that matches with a phrasal form; generating a list of expected content items having an expected content item for each of the one or more natural language tokens that matches with a phrasal form; scanning the active document to attempt to locate each expected content item; and displaying a notification of each expected content item not located. Each expected content item is generated based upon the content type associated with the corresponding matching phrasal form in the natural language model.
    Type: Grant
    Filed: June 6, 2008
    Date of Patent: December 6, 2011
    Assignee: International Business Machines Corporation
    Inventors: Robert J. Harlow, Jeffrey J. Smith, David T. Windell
  • SYSTEM AND METHOD TO PROVIDE WARNINGS ASSOCIATED WITH NATURAL LANGUAGE SEARCHES TO DETERMINE INTENDED ACTIONS AND ACCIDENTAL OMISSIONS
    Publication number: 20090306962
    Abstract: A method for providing notification of content potentially omitted from within an active document in a document preparation application comprises defining a natural language model for a set of phrasal forms associating each phrasal form with a content type; parsing a textual content of the active document to generate one or more natural language tokens; accessing the natural language model to identify each of the one or more natural language tokens that matches with a phrasal form; generating a list of expected content items having an expected content item for each of the one or more natural language tokens that matches with a phrasal form; scanning the active document to attempt to locate each expected content item; and displaying a notification of each expected content item not located. Each expected content item is generated based upon the content type associated with the corresponding matching phrasal form in the natural language model.
    Type: Application
    Filed: June 6, 2008
    Publication date: December 10, 2009
    Applicant: International Business Machines Corporation
    Inventors: Robert J. Harlow, Jeffrey J. Smith, David T. Windell