Entity classification method and system and computer readable storage medium

A classification method and entity technology, applied in the field of knowledge graphs, can solve problems such as low classification performance and less information, and achieve the effect of improving entity classification performance

Active Publication Date: 2020-08-11
IFLYTEK (SUZHOU) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional entity classification only focuses on coarse-grained categories such as people, organizations, and places, and the amount of information expressed is often too small, which makes the performance of entity classification low.

Method used

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  • Entity classification method and system and computer readable storage medium
  • Entity classification method and system and computer readable storage medium
  • Entity classification method and system and computer readable storage medium

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Embodiment Construction

[0027] Compared with coarse-grained entity classification, fine-grained entity classification forms a category path in the type tree of the knowledge base by assigning more specific categories to entities, thus having a larger amount of information and richer semantics. More effectively mine the semantic and relationship information of entities, so as to provide help for graph completion tasks such as entity linking and relationship extraction. like figure 1 As shown, the entity Yao Ming would be associated with the category path "thing-person-sports-person-basketball player".

[0028] At the same time, there are usually many low-frequency entities with little or no triple information in the knowledge base. Moreover, most of the current fine-grained classification models directly classify the leaf nodes of the type tree, and do not make full use of the hierarchical relationship between categories.

[0029] In addition, there is a certain association between the attributes (r...

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Abstract

The invention discloses an entity classification method and system and a computer readable storage medium. The method comprises the following steps that a type tree of a knowledge base is obtained, feature vectors of to-be-classified entities in the knowledge base are generated, the feature vectors comprise text feature vectors, non-text feature vectors and category feature vectors, and the category feature vectors are generated based on the type tree; and classifying the to-be-classified entities according to the feature vectors of the to-be-classified entities by utilizing a preset classification model to obtain category paths of the to-be-classified entities in the type tree. According to the entity classification method provided by the embodiment of the invention, when entity classification is carried out, the hierarchical structure relationship between the entity categories is utilized, so that layer-by-layer classification of the to-be-classified entities from the coarse granularity type to the fine granularity type can be realized, and the entity classification performance is improved.

Description

technical field [0001] The present invention relates to the field of knowledge graphs, in particular to an entity classification method, system and computer-readable storage medium. Background technique [0002] In recent years, with the rapid development of big data and artificial intelligence, Knowledge Graph (KG) has attracted widespread attention from academia and industry with its powerful data description capabilities. [0003] The construction process of knowledge map mainly includes three steps: information extraction (entity extraction, relation extraction, attribute extraction), knowledge fusion and knowledge processing, and entity classification plays a very important role in the process of building knowledge map. However, traditional entity classification only focuses on coarse-grained categories such as people, organizations, and locations, and the amount of information expressed is often too small, which makes entity classification performance low. Contents o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/36G06F40/295G06N3/08
CPCG06N3/084G06F16/35G06F16/367G06F40/295
Inventor 李直旭张兆银何莹徐小童
Owner IFLYTEK (SUZHOU) TECH CO LTD
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