Patents by Inventor Georgios Balikas

Georgios Balikas 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).

  • Tenant specific and global pretagging for natural language queries
    Patent number: 11841852
    Abstract: A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens with at least one pre-configured data type identifier that is configured for the plurality of tenants. A global tagging model that supports the plurality of tenants of the multi-tenant system may tag the set of tokens with at least one category identifier. The global tagging model may use the natural language query and the pre-configured data type identifier to identify the at least one category identifier. The system may execute a database query on a database associated with the tenant using the at least one pre-configured data type identifier and the at least one category identifier.
    Type: Grant
    Filed: January 13, 2021
    Date of Patent: December 12, 2023
    Assignee: Salesforce, Inc.
    Inventors: Guillaume Jean Mathieu Kempf, Marc Brette, Francisco Dellatorre Borges, Qianqian Shi, Matthieu Michel Robin Landos, Darya Brazouskaya, Georgios Balikas, Arvind Srikantan, Mario Sergio Rodriguez
  • Personalized NLS query suggestions using language models
    Patent number: 11755596
    Abstract: A method and apparatus for generating personalized suggestions for natural language search queries, where the method includes receiving a natural language query input from a user, obtaining set of suggestions for the natural language query, identifying a set of concepts in the set of suggestions, applying co-occurrence model to the set of concepts to obtain user specific concept probabilities and vocabulary probabilities, computing suggestion scores for at least one suggestion in the set of suggestions based on the user specific concept probabilities and vocabulary probabilities, and ranking the set of suggestions based on suggestion scores.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: September 12, 2023
    Assignee: Salesforce, Inc.
    Inventors: Georgios Balikas, Matthieu Michel Robin Landos, Marc Brette, Arieta Shabani
  • PERSONALIZED NLS QUERY SUGGESTIONS USING LANGUAGE MODELS
    Publication number: 20220215029
    Abstract: A method and apparatus for generating personalized suggestions for natural language search queries, where the method includes receiving a natural language query input from a user, obtaining set of suggestions for the natural language query, identifying a set of concepts in the set of suggestions, applying co-occurrence model to the set of concepts to obtain user specific concept probabilities and vocabulary probabilities, computing suggestion scores for at least one suggestion in the set of suggestions based on the user specific concept probabilities and vocabulary probabilities, and ranking the set of suggestions based on suggestion scores.
    Type: Application
    Filed: January 5, 2021
    Publication date: July 7, 2022
    Applicant: salesforce.com, inc.
    Inventors: Georgios Balikas, Matthieu Michel Robin Landos, Marc Brette, Arieta Shabani
  • TENANT SPECIFIC AND GLOBAL PRETAGGING FOR NATURAL LANGUAGE QUERIES
    Publication number: 20220156251
    Abstract: A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens with at least one pre-configured data type identifier that is configured for the plurality of tenants. A global tagging model that supports the plurality of tenants of the multi-tenant system may tag the set of tokens with at least one category identifier. The global tagging model may use the natural language query and the pre-configured data type identifier to identify the at least one category identifier. The system may execute a database query on a database associated with the tenant using the at least one pre-configured data type identifier and the at least one category identifier.
    Type: Application
    Filed: January 13, 2021
    Publication date: May 19, 2022
    Inventors: Guillaume Jean Mathieu Kempf, Marc Brette, Francisco Dellatorre Borges, Qianqian Shi, Matthieu Michel Robin Landos, Darya Brazouskaya, Georgios Balikas, Arvind Srikantan, Mario Sergio Rodriguez