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Entity classification method and related device

A classification method and entity technology, applied in the field of knowledge graphs, can solve problems affecting the accuracy of entity classification

Pending Publication Date: 2020-07-28
IFLYTEK (SUZHOU) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when an entity contains too little information that can be used for classification, or has few or no relationships with other entities, it will seriously affect the accuracy of entity classification.

Method used

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  • Entity classification method and related device
  • Entity classification method and related device
  • Entity classification method and related device

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Embodiment Construction

[0016] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0017] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0018] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0019] see figure 1 , figure 1 It ...

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PUM

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Abstract

The invention discloses an entity classification method and a related device, and the method comprises the steps: obtaining at least one to-be-processed triple of a to-be-recognized entity; based on the expression information obtained by training the sample triples of the sample entities, obtaining predicate expressions and object expressions of the to-be-processed triples and preset category expressions of at least one target entity category, wherein the to-be-processed triples and the sample triples each comprise an entity, a predicate and an object; determining the entity expression of theentity to be identified by utilizing the predicate expression and the object expression of the to-be-processed triple; and based on the difference between the entity expression of the to-be-identifiedentity and the category expression of each target entity category, determining the entity category to which the to-be-identified entity belongs. According to the scheme, the entity classification accuracy can be improved.

Description

technical field [0001] The present application relates to the field of knowledge graphs, in particular to an entity classification method and related devices. Background technique [0002] With the continuous development and breakthrough of artificial intelligence, knowledge graph (Knowledge Graph), as the technical cornerstone of future strong artificial intelligence, has received extensive attention. The knowledge graph stores the unstructured information of entities in the form of structured triples. Triples usually contain the relationship and attribute information of entities. In addition, entity categories are also indispensable in knowledge graphs. [0003] At present, when performing entity classification, it often relies heavily on the information contained in the entity that can be used for classification, or the relationship with other entities. However, when an entity contains too little information that can be used for classification, or has little or no rela...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F16/35G06F16/36
CPCG06F16/35G06F16/367
Inventor 李直旭陈志刚何莹牛雷
Owner IFLYTEK (SUZHOU) TECH CO LTD
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