Patents by Inventor Kirk LaBuda

Kirk LaBuda 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).

  • Semantic representations using structural ontology for assistant systems
    Patent number: 11688022
    Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: June 27, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Armen Aghajanyan, Sonal Gupta, Brian Moran, Theodore Frank Levin, Crystal Annette Naomi Su Hua Nakatsu, Daniel Difranco, Jonathan David Christensen, Kirk LaBuda, Anuj Kumar
  • Semantic representations using structural ontology for assistant systems
    Patent number: 11651449
    Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: May 16, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Armen Aghajanyan, Sonal Gupta, Brian Moran, Theodore Frank Levin, Crystal Annette Naomi Su Hua Nakatsu, Daniel Difranco, Jonathan David Christensen, Kirk LaBuda, Anuj Kumar
  • Semantic representations using structural ontology for assistant systems
    Patent number: 11615484
    Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: March 28, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Armen Aghajanyan, Sonal Gupta, Brian Moran, Theodore Frank Levin, Crystal Annette Naomi Su Hua Nakatsu, Daniel Difranco, Jonathan David Christensen, Kirk LaBuda, Anuj Kumar
  • Semantic representations using structural ontology for assistant systems
    Patent number: 11586823
    Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: February 21, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Armen Aghajanyan, Sonal Gupta, Brian Moran, Theodore Frank Levin, Crystal Annette Naomi Su Hua Nakatsu, Daniel Difranco, Jonathan David Christensen, Kirk LaBuda, Anuj Kumar
  • Semantic Representations Using Structural Ontology for Assistant Systems
    Publication number: 20210117624
    Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.
    Type: Application
    Filed: August 20, 2020
    Publication date: April 22, 2021
    Inventors: Armen Aghajanyan, Sonal Gupta, Brian Moran, Theodore Frank Levin, Crystal Annette Naomi Su Hua Nakatsu, Daniel Difranco, Jonathan David Christensen, Kirk LaBuda, Anuj Kumar