Knowledge graph hyponymy relation identification method based on mode expansion and BERT classification and storage device

A technology of knowledge graph and relationship recognition, which is applied in the field of knowledge graph hyponym relationship recognition based on pattern expansion and BERT classification, which can solve the problems of large labor input, high degree of dependence, and high demand for prior knowledge base, so as to reduce complexity and The effect of manual input and strong realizability

Active Publication Date: 2021-02-26
FUJIAN YIRONG INFORMATION TECH
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Problems solved by technology

[0013] To this end, it is necessary to provide a method for identifying the hyponymy relationship of knowledge graphs based on pattern expansion and BERT classification, which is used to solve the problem that the existing

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  • Knowledge graph hyponymy relation identification method based on mode expansion and BERT classification and storage device
  • Knowledge graph hyponymy relation identification method based on mode expansion and BERT classification and storage device
  • Knowledge graph hyponymy relation identification method based on mode expansion and BERT classification and storage device

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[0051] In order to describe in detail the technical content, structural features, achieved objectives and effects of the technical solution, the following detailed description is given in conjunction with specific embodiments and accompanying drawings.

[0052] see Figure 1 to Figure 4 , in this embodiment, the method for identifying the upper and lower relationship of the knowledge graph based on pattern expansion and BERT classification can be applied to a storage device, and the storage device includes but is not limited to: personal computers, servers, general Computers, special-purpose computers, network equipment, embedded equipment, programmable equipment, intelligent mobile terminals, etc. The specific technical solutions are as follows:

[0053] Step S101 : Extract potential pairs of hyponyms from external data based on pattern expansion, and combine with a preset resource library to form a training seed corpus for a hypernym model. The main purpose of step S101 is...

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Abstract

The invention relates to the technical field of text recognition, in particular to a knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification and a storage device. The knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification comprises the steps: extracting potential hyponymy relation pairs from external data based on pattern expansion, and forming a hyponymy relation model training seed corpus in combination with a preset resource library; obtaining a to-be-predicted hyponymy data set, and predictingthe to-be-predicted data set based on the BERT-Attention-Bi-LSTM model to obtain a hyponymy prediction result; and further processing the hyponymy relationship prediction result through a preset ruleto obtain a final hyponymy relationship prediction result. The method greatly reduces the complexity and labor investment of rule compilation, has stronger realizability compared with another mainstream statistics-based hyponymy concept identification method, and can provide technical support for the construction of various professional knowledge maps.

Description

technical field [0001] The invention relates to the technical field of text recognition, in particular to a method and a storage device for identifying the hyponym relationship of a knowledge map based on pattern expansion and BERT classification. Background technique [0002] With the rapid development of Internet software and hardware related technologies, people are gradually entering the intelligent age from the information age. As an important carrier that carries the massive knowledge at the bottom layer and supports intelligent applications at the upper layer, the knowledge graph plays an extremely important role in the intelligent era. However, limited by the huge difference between unstructured text and structured knowledge, there are still many challenges in automatically constructing knowledge graphs and using knowledge graphs to support upper-level applications. Therefore, it is necessary to conduct research on the construction of knowledge graph and its core ap...

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Application Information

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IPC IPC(8): G06F16/36G06F40/295G06N3/04
CPCG06F16/367G06F40/295G06N3/049G06N3/044
Inventor 苏江文宋立华王秋琳
Owner FUJIAN YIRONG INFORMATION TECH
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