Patents by Inventor Geun Jin AHN

Geun Jin AHN 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).

  • Method for training information retrieval model based on weak-supervision and method for providing search result using such model
    Patent number: 11922333
    Abstract: A search method using an artificial intelligence based information retrieval model and a method for training the artificial intelligence based information retrieval model used for the method are provided. In the method, even if there is no labeled data and only a corpus exists, the artificial intelligence based information retrieval model can be trained using the weak-supervision methodology. Search can be performed by dividing documents into passages having short lengths. Compared to an information retrieval model based on unsupervised learning, improved search results are provided.
    Type: Grant
    Filed: May 16, 2022
    Date of Patent: March 5, 2024
    Assignees: HOSEO UNIVERSITY ACADEMIC COOPERATION FOUNDATION, LIVIN AI INC.
    Inventors: Sungbum Park, Suehyun Chang, Geun Jin Ahn
  • METHOD FOR TRAINING INFORMATION RETRIEVAL MODEL BASED ON WEAK-SUPERVISION AND METHOD FOR PROVIDING SEARCH RESULT USING SUCH MODEL
    Publication number: 20220343195
    Abstract: A search method using an artificial intelligence based information retrieval model and a method for training the artificial intelligence based information retrieval model used for the method are provided. In the method, even if there is no labeled data and only a corpus exists, the artificial intelligence based information retrieval model can be trained using the weak-supervision methodology. Search can be performed by dividing documents into passages having short lengths. Compared to an information retrieval model based on unsupervised learning, improved search results are provided.
    Type: Application
    Filed: May 16, 2022
    Publication date: October 27, 2022
    Inventors: Sung Bum PARK, Suehyun Chang, Geun Jin Ahn
  • METHOD FOR TRAINING INFORMATION RETRIEVAL MODEL BASED ON WEAK-SUPERVISION AND METHOD FOR PROVIDING SEARCH RESULT USING SUCH MODEL
    Publication number: 20210342718
    Abstract: A search method using an artificial intelligence based information retrieval model and a method for training the artificial intelligence based information retrieval model used for the method are provided. In the method, even if there is no labeled data and only a corpus exists, the artificial intelligence based information retrieval model can be trained using the weak-supervision methodology. Search can be performed by dividing documents into passages having short lengths. Compared to an information retrieval model based on unsupervised learning, improved search results are provided.
    Type: Application
    Filed: April 30, 2021
    Publication date: November 4, 2021
    Inventors: Sung Bum PARK, Suehyun CHANG, Geun Jin AHN