Patents by Inventor Aaron Douglas Arthur

Aaron Douglas Arthur 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).

  • Human language analyzer for detecting clauses, clause types, and clause relationships
    Patent number: 10699081
    Abstract: A human language analyzer receives, at the human language analyzer, text data representing information in a human language. The human language analyzer receives a computer command for identifying a text data component of the text data. The computer command comprises at least two requirements for the text data component. The human language analyzer, responsive to identifying that the first requirement and the second requirement are met, locates the text data component from one of two clauses. A clause analyzer receives a clause request to locate clauses within text data representing information in a human language. The clause analyzer receives, responsive to a dependency request, token information in a token data set. The clause analyzer determines a location for each clause of the sentence portion in a hierarchy of clauses. The clause analyzer generates and outputs a new data set based on the token data set and the hierarchy of clauses.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: June 30, 2020
    Assignee: SAS Institute Inc.
    Inventors: Teresa S. Jade, Wei-shan Chiang, Aaron Douglas Arthur, Seng Lee, Qin Yang, Xu Yang
  • Human Language Analyzer for Detecting Clauses, Clause Types, and Clause Relationships
    Publication number: 20200050672
    Abstract: A human language analyzer receives, at the human language analyzer, text data representing information in a human language. The human language analyzer receives a computer command for identifying a text data component of the text data. The computer command comprises at least two requirements for the text data component. The human language analyzer, responsive to identifying that the first requirement and the second requirement are met, locates the text data component from one of two clauses. A clause analyzer receives a clause request to locate clauses within text data representing information in a human language. The clause analyzer receives, responsive to a dependency request, token information in a token data set. The clause analyzer determines a location for each clause of the sentence portion in a hierarchy of clauses. The clause analyzer generates and outputs a new data set based on the token data set and the hierarchy of clauses.
    Type: Application
    Filed: October 17, 2019
    Publication date: February 13, 2020
    Inventors: Teresa S. Jade, Wei-shan Chiang, Aaron Douglas Arthur, Seng Lee, Qin Yang, Xu Yang
  • Human language analyzer for detecting clauses, clause types, and clause relationships
    Patent number: 10467344
    Abstract: A human language analyzer receives, at the human language analyzer, text data representing information in a human language. The human language analyzer receives a computer command for identifying a text data component of the text data. The computer command comprises at least two requirements for the text data component. The human language analyzer, responsive to identifying that the first requirement and the second requirement is met, locates the text data component from one of two clauses. A clause analyzer receives a clause request to locate clauses within text data representing information in a human language. The clause analyzer receives, responsive to a dependency request, token information in a token data set. The clause analyzer determines a location for each clause of the sentence portion in a hierarchy of clauses. The clause analyzer generates and outputs a new data set based on the token data set and the hierarchy of clauses.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: November 5, 2019
    Assignee: SAS Institute Inc.
    Inventors: Teresa S. Jade, Wei-shan Chiang, Aaron Douglas Arthur, Seng Lee, Qin Yang, Xu Yang