Patents by Inventor Joshua James Clausman

Joshua James Clausman 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).

  • Publication number: 20210224686
    Abstract: Techniques for adapting previously-annotated training examples into updated training examples for training a machine learning model are disclosed. One example includes a computer program that recognizes a find expression, a replacement expression, and a filtering constraint in which the filtering constraint distinguishes a subset of previously-annotated training examples from others of the previously-annotated training examples. An instance of the find expression is identified by the computer program within the subset of the previously-annotated training examples that were identified among the previously-annotated training examples based on the filtering constraint. The instance of the find expression identified within the subset of the previously-annotated training examples is replaced by the computer program with an instance of the replacement expression to obtain an updated subset of training examples.
    Type: Application
    Filed: January 21, 2020
    Publication date: July 22, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Jayant Sivarama KRISHNAMURTHY, Dmitrij PETTERS, Joshua James CLAUSMAN
  • Patent number: 11069340
    Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: July 20, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Percy Shuo Liang, David Leo Wright Hall, Joshua James Clausman
  • Patent number: 10824798
    Abstract: A data collection system is based on a general set of dialogue acts which are derived from a database schema. Crowd workers perform two types of tasks: (i) identification of sensical dialogue paths and (ii) performing context-dependent paraphrasing of these dialogue paths into real dialogues. The end output of the system is a set of training examples of real dialogues which have been annotated with their logical forms. This data can be used to train all three components of the dialogue system: (i) the semantic parser for understanding context-dependent utterances, (ii) the dialogue policy for generating new dialogue acts given the current state, and (iii) the generation system for both deciding what to say and how to render it in natural language.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: November 3, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, Daniel Klein, Laurence Steven Gillick, Jordan Rian Cohen, Linda Kathleen Arsenault, Joshua James Clausman, Adam David Pauls, David Leo Wright Hall
  • Publication number: 20200193970
    Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.
    Type: Application
    Filed: February 26, 2020
    Publication date: June 18, 2020
    Applicant: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, David Leo Wright Hall, Joshua James Clausman
  • Patent number: 10586530
    Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: March 10, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, David Leo Wright Hall, Joshua James Clausman
  • Publication number: 20180350349
    Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.
    Type: Application
    Filed: February 23, 2018
    Publication date: December 6, 2018
    Applicant: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, David Leo Wright Hall, Joshua James Clausman
  • Publication number: 20180261205
    Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.
    Type: Application
    Filed: May 8, 2018
    Publication date: September 13, 2018
    Applicant: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, David Leo Wright Hall, Joshua James Clausman