Patents by Inventor Raphaël François André Salmon

Raphaël François André Salmon 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).

  • Natural language text generation using semantic objects
    Patent number: 11809832
    Abstract: Techniques for generating natural language text with a natural language generation (NLG) system using a plurality of semantic objects including a first semantic object. The techniques include: obtaining a first specification of the first semantic object, the first specification specifying a first set of one or more data variables, first attributes, a first vocabulary, and a first document structure configuration; obtaining, from at least one data store, first data related to the first set of data variables; determining values of at least some of the first set of data variables using the first data; generating the natural language text including first natural language text, using the first specification, the values of at least some of the first set of data variables; and outputting the generated natural language text.
    Type: Grant
    Filed: August 18, 2022
    Date of Patent: November 7, 2023
    Assignee: YSEOP SA
    Inventors: Raphaël François André Salmon, Alain Kaeser, Bernard Paul Rémy Légaut
  • NATURAL LANGUAGE TEXT GENERATION USING SEMANTIC OBJECTS
    Publication number: 20220398386
    Abstract: Techniques for generating natural language text with a natural language generation (NLG) system using a plurality of semantic objects including a first semantic object. The techniques include: obtaining a first specification of the first semantic object, the first specification specifying a first set of one or more data variables, first attributes, a first vocabulary, and a first document structure configuration; obtaining, from at least one data store, first data related to the first set of data variables; determining values of at least some of the first set of data variables using the first data; generating the natural language text including first natural language text, using the first specification, the values of at least some of the first set of data variables; and outputting the generated natural language text.
    Type: Application
    Filed: August 18, 2022
    Publication date: December 15, 2022
    Applicant: YSEOP SA
    Inventors: Raphaël François André Salmon, Alain Kaeser, Bernard Paul Rémy Légaut
  • Natural language text generation using semantic objects
    Patent number: 11449687
    Abstract: Techniques for generating natural language text with a natural language generation (NLG) system using a plurality of semantic objects including a first semantic object. The techniques include: obtaining a first specification of the first semantic object, the first specification specifying a first set of one or more data variables, first attributes, a first vocabulary, and a first document structure configuration; obtaining, from at least one data store, first data related to the first set of data variables; determining values of at least some of the first set of data variables using the first data; generating the natural language text including first natural language text, using the first specification, the values of at least some of the first set of data variables; and outputting the generated natural language text.
    Type: Grant
    Filed: May 7, 2020
    Date of Patent: September 20, 2022
    Assignee: YSEOP SA
    Inventors: Raphaël François André Salmon, Alain Kaeser, Bernard Paul Rémy Légaut
  • NATURAL LANGUAGE TEXT GENERATION USING SEMANTIC OBJECTS
    Publication number: 20200356732
    Abstract: Techniques for generating natural language text with a natural language generation (NLG) system using a plurality of semantic objects including a first semantic object. The techniques include: obtaining a first specification of the first semantic object, the first specification specifying a first set of one or more data variables, first attributes, a first vocabulary, and a first document structure configuration; obtaining, from at least one data store, first data related to the first set of data variables; determining values of at least some of the first set of data variables using the first data; generating the natural language text including first natural language text, using the first specification, the values of at least some of the first set of data variables; and outputting the generated natural language text.
    Type: Application
    Filed: May 7, 2020
    Publication date: November 12, 2020
    Inventors: Raphaël François André Salmon, Alain Kaeser, Bernard Paul Rémy Légaut
  • Techniques for automatic generation of natural language text
    Patent number: 9582501
    Abstract: Techniques for use in connection with generating text, the techniques comprise: obtaining a plurality of items of content and associated metadata; and generating a document plan comprising a plurality of rhetorical relations among items of content in the plurality of items of content, the plurality of rhetorical relations comprising a first set of one or more rhetorical relations and a second set of one or more rhetorical relations different from the first set, the generating comprising: obtaining a schema specifying the first set of one or more rhetorical relations; and identifying the second set of rhetorical relations based, at least in part, on the associated metadata, wherein the second set of rhetorical relations is not in the schema.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: February 28, 2017
    Assignee: YSEOP SA
    Inventors: Raphaël François André Salmon, Ludan Stoeckle, Alain Kaeser