Invention Grant
- Patent Title: Method for training information retrieval model based on weak-supervision and method for providing search result using such model
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Application No.: US17744847Application Date: 2022-05-16
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Publication No.: US11922333B2Publication Date: 2024-03-05
- Inventor: Sungbum Park , Suehyun Chang , Geun Jin Ahn
- Applicant: Hoseo University Academic Cooperation Foundation , Livin AI Inc.
- Applicant Address: KR Asan-si
- Assignee: HOSEO UNIVERSITY ACADEMIC COOPERATION FOUNDATION,LIVIN AI INC.
- Current Assignee: HOSEO UNIVERSITY ACADEMIC COOPERATION FOUNDATION,LIVIN AI INC.
- Current Assignee Address: KR Asan-si; KR Cheonan-si
- Agency: LEX IP MEISTER, PLLC
- Priority: KR 20200053018 2020.05.01
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F16/93 ; G06N20/00
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.
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.
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