Entity relation joint extraction method and storage device

A technology of entity relationship and storage device, applied in the field of knowledge graph

Pending Publication Date: 2022-03-11
福州数据技术研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above problems, this application provides a joint entity-relationship extraction method to solve the problem that the existing joint extraction technology will model all kinds of relationships and entities through the joint extraction model, and on this basis realize the entity and relationship extract

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  • Entity relation joint extraction method and storage device
  • Entity relation joint extraction method and storage device
  • Entity relation joint extraction method and storage device

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Embodiment Construction

[0054] In order to describe in detail the possible application scenarios, technical principles, specific solutions that can be implemented, goals and effects that can be achieved, etc., the following will be described in detail in conjunction with the listed specific embodiments and accompanying drawings. The embodiments described herein are only used to illustrate the technical solutions of the present application more clearly, so they are only examples, and cannot be used to limit the protection scope of the present application.

[0055]Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The word "embodiment" appearing in various positions in the specification does not necessarily refer to the same embodiment, nor does it specifically limit its independence or relationship with other embodiments. In principle, in thi...

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Abstract

The invention relates to the technical field of knowledge maps, in particular to an entity relation joint extraction method and storage equipment. The entity relationship joint extraction method comprises the following steps: step S101, constructing a mesh atlas of an entity type and a relationship type for a given data set, and segmenting the constructed mesh atlas according to the relationship type; step S102, constructing an entity relationship feature filter, and filtering out entity types irrelevant to the relationship; step S103, performing joint extraction on the basis of the remaining entity types related to the specific relationship; and S104, repeating the step S102 and the step S103 until the joint extraction of all the relation types is completed. Through the method, for a specific relationship type, the entity relationship feature filter is constructed by constructing correspondence between the relationship and the corresponding entity type, so that accurate extraction of the entity under the specific relationship is realized, and the accuracy of entity relationship joint extraction is improved.

Description

technical field [0001] The present invention relates to the technical field of knowledge graphs, in particular to an entity-relationship joint extraction method and a storage device. Background technique [0002] As an important part of artificial intelligence technology, knowledge graph technology has established a knowledge base with semantic processing capabilities and open interconnection capabilities, which plays an important role in various artificial intelligence technologies. The construction of a knowledge map is roughly divided into five steps, namely: data acquisition, information extraction, knowledge fusion (entity alignment), data model construction, and knowledge quality assessment. Among them, information extraction, as the step of acquiring knowledge, plays an important role in the process of knowledge graph construction. [0003] In the process of data acquisition, the data will be divided into structured data, semi-structured data and unstructured data, a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/02G06N3/08
CPCG06N5/025G06N5/022G06N3/08
Inventor 闾海荣王天亨李艳
Owner 福州数据技术研究院有限公司
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