Patents Assigned to Cognition IP Technology Inc.
  • Multi-segment text search using machine learning model for text similarity
    Patent number: 12230049
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: June 5, 2023
    Date of Patent: February 18, 2025
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • Multi-segment text search using machine learning model for text similarity
    Patent number: 11670103
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: June 6, 2023
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • Multi-segment text search using machine learning model for text similarity
    Patent number: 11308320
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: April 19, 2022
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti