Title:
STRUCTURED-INFORMATION-BASED RELATION ALIGNMENT METHOD AND APPARATUS, AND DEVICE AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/222226
Kind Code:
A1
Abstract:
A structured-information-based relation alignment method, comprising: constructing a triplet corpus, wherein the triplet corpus comprises a plurality of triplets (S101); acquiring a relation vector representation corresponding to each triplet in the triplet corpus (S102); according to the relation vector representations, constructing relation sets corresponding to head entities in the triplets, and acquiring, from the relation sets, a relation mutually exclusive set having the maximum range (S103); performing clustering analysis on the triplets in the triplet corpus according to relation vector features, and performing clustering cluster merging according to the relation mutually exclusive set, so as to obtain several clusters (S104); and for each cluster, selecting a relation feature vector, which occurs the most frequently in the cluster, as a target relation feature vector, and modifying the relation feature vectors of all triplets in the cluster to be the target relation feature vector (S105). By means of the method, the problems in the prior art of the low accuracy of relation representation and the low precision of relation alignment during the construction of a knowledge graph are solved.
Inventors:
CHENG HUADONG (CN)
LI JIANFENG (CN)
CHEN YOUXIN (CN)
LI JIANFENG (CN)
CHEN YOUXIN (CN)
Application Number:
PCT/CN2021/096584
Publication Date:
October 27, 2022
Filing Date:
May 28, 2021
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F40/289; G06F16/36; G06K9/62
Foreign References:
| CN111026865A | 2020-04-17 | |||
| CN112149400A | 2020-12-29 | |||
| CN111198950A | 2020-05-26 | |||
| CN110516078A | 2019-11-29 | |||
| CN109992673A | 2019-07-09 | |||
| CN111061841A | 2020-04-24 | |||
| US20190087724A1 | 2019-03-21 | |||
| US20160092549A1 | 2016-03-31 |
Attorney, Agent or Firm:
SHENZHEN ZHONGDING INTELLECTUAL PROPERTY AGENCY (CN)
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