公开(公告)号：US20200175226A1

公开(公告)日：2020-06-04

申请号：US16696476

申请日：2019-11-26

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY-INDUSTRY COOPERATION

Inventor： Young Tack PARK ,  Wan Gon LEE ,  Jagvaral BATSELEM ,  Hyun Young CHOI ,  Ji Houn HONG

IPC: G06F40/20 ,  G06F40/166 ,  G06K9/62 ,  G06N20/10 ,  G06N20/20

Abstract: Provided is an incorrect triple detection system including a triple selector configured to select a target triple (subject, type, object) in a knowledge base, a sampler configured to create a sentence model by connecting object triples sharing entities included in the target triple, a model builder configured to embed the sentence model into a vector space to create a training entity vector and build an embedding model, and an incorrect triple detector configured to detect an incorrect triple by inputting a test triple into the embedding model.

公开(公告)号：US20190087724A1

公开(公告)日：2019-03-21

申请号：US15856463

申请日：2017-12-28

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY INDUSTRY COOPERATION

Inventor： Young Tack PARK ,  Wan Gon LEE ,  Batselem JAGVARAL ,  Hyun Young CHOI ,  Ji Houn HONG

IPC: G06N3/08 ,  G06N5/02

Abstract: Disclosed are a method of operating a knowledgebase and a server using the same. The method of operating a knowledgebase may include: (a) receiving triple data sets as input; (b) forming at least one data cluster set by classifying the triple data sets according to relation based on semantic information of the knowledgebase; and (c) learning each relation model by inputting the data cluster set into a neural tensor network.