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