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Relationship extraction method and device, equipment, storage medium and computer program product

A relationship extraction and relationship technology, applied in the computer field, can solve problems such as large labor costs and time costs, and achieve the effect of saving labor costs and time costs

Pending Publication Date: 2022-04-12
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, manually labeling the relationship between entities requires a lot of labor and time.

Method used

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  • Relationship extraction method and device, equipment, storage medium and computer program product
  • Relationship extraction method and device, equipment, storage medium and computer program product
  • Relationship extraction method and device, equipment, storage medium and computer program product

Examples

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Embodiment Construction

[0057] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0058] The relationship extraction method provided in this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and vehicle-mounted terminals, and the server 104 can be an independent physical server, or a server composed of multiple physical servers Cluster or distributed system can also provide cloud ...

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Abstract

The invention relates to a relation extraction method and device, equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a relationship feature corresponding to each instance in an instance set; the instance set comprises instances with known relationships and instances with unknown relationships; according to the relation characteristics, instances with unknown relations are identified from the instance set to serve as instances to be labeled; the relationship among the entities in the to-be-labeled instance is unknown; selecting a target instance from the instances to be labeled, and obtaining relation information labeled for the target instance; the amount of information contained in the target instance is greater than the amount of information contained in non-target instances except the target instance in the instances to be labeled; training a relation classifier based on the target instance marked with the relation information; the relation information represents the relation between the entities in the target instance; and based on the trained relationship classifier, labeling the relationship between the entities in the non-target instance. By adopting the method, the labor cost and the time cost can be saved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a relation extraction method, device, equipment, storage medium and computer program product. Background technique [0002] With the development of computer technology, relational extraction has been widely used in many business scenarios. For example, relational extraction can be applied to the construction process of Knowledge Graph. Knowledge map is called knowledge domain visualization or knowledge domain mapping map, which is a series of different graphics showing the knowledge development process and structural relationship. The knowledge map uses visualization technology to describe knowledge resources and their carriers, mining, analyzing, constructing, drawing and displaying knowledge and their interconnections. Knowledge graphs can be widely used in various business fields. [0003] In traditional technology, the relationship between entities is mainly mar...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06F16/33G06N3/04G06N3/08
Inventor 郦炀宁向玥佳陈曦
Owner TENCENT TECH (SHENZHEN) CO LTD
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