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Entity association method and device, electronic equipment and storage medium

An entity and association technology, applied in the field of data analysis, can solve the problems of entity link failure, weak category and associated scene ability, and inaccurate association, so as to improve accuracy and recall rate, and improve category or scene association ability Effect

Active Publication Date: 2021-06-25
北京明智和术科技有限公司
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Problems solved by technology

[0003] However, in the prior art, there are certain problems in the current entity association method. First, how to set the weight size. In the prior art, the weight is usually set by experience or test data verification. There are many problems in this setting method, such as : Some calculation score weights should be large, but if the setting is small, the entity link fails; secondly, the linked entity is obtained according to the settlement result, but according to the entity, the category of the related entity cannot be directly obtained, resulting in the category associated with the entity The ability to relate scenes is weak and the association is inaccurate

Method used

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  • Entity association method and device, electronic equipment and storage medium
  • Entity association method and device, electronic equipment and storage medium

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Embodiment Construction

[0049] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that the The accompanying drawings are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order and that steps without logical context may be performed in reverse order or concurrently. In addition, under the guidance of the content of the present...

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Abstract

The invention provides an entity association method and device, electronic equipment and a storage medium, and belongs to the technical field of data analysis. The entity association method comprises the following steps: on the basis of a document entity list in a to-be-detected document, obtaining each matching entity corresponding to each document entity in the document entity list and a relation entity associated with each matching entity in a knowledge graph database; determining a first similarity according to the to-be-detected document and the matched entity attribute; determining a second similarity according to the text abstract and the matching entity of the to-be-detected document; and determining a third similarity according to the text abstract, the matching entity and the relation entity of the to-be-detected document. According to the method, the entity association accuracy and recall rate can be effectively improved, the associated category can be directly displayed during front-end display, and the entity category or scene association capability is improved.

Description

technical field [0001] The present application relates to the technical field of data analysis, and in particular, to an entity association method, apparatus, electronic device and storage medium. Background technique [0002] With the rise and rapid development of the Internet, knowledge engineering and artificial intelligence, the explosive growth of text data has occurred, and people urgently need efficient and intelligent text analysis technology to understand the true meaning of the data, so as to help people or organizations quickly obtain useful information Information. Entity association technology is a text analysis technology, which takes words or phrases appearing in text data as entities and associates them with corresponding entity identifiers in the knowledge graph database. In this way, people can understand the real meaning of text data through entity association, which provides great convenience for us to understand the semantic information of text data. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06K9/62
CPCG06F16/367G06F18/22G06F18/24
Inventor 崔小波
Owner 北京明智和术科技有限公司
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