Knowledge extraction method, system and equipment and storage medium
A knowledge extraction and seed technology, applied in the field of data processing, can solve the problems of low recall rate, low quality of knowledge instances, poor versatility, etc., and achieve the effect of guaranteeing quality and high recall rate
Pending Publication Date: 2022-08-02
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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Problems solved by technology
However, the current knowledge extraction technology based on pattern recognition technology for large-scale text data still has problems such as poor versatility, low recall rate, and low quality knowledge instances.
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[0068] The core of the present invention is to provide a knowledge extraction method, which can effectively perform knowledge extraction, has high versatility and recall rate, and can obtain high-quality knowledge extraction content.
[0069] In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0070] Please refer to figure 1 , figure 1 It is an implementation flow chart of a knowledge extraction method in the present invention, and the knowledge extraction method may include the following...
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The invention discloses a knowledge extraction method, system and device and a storage medium, which are applied to the technical field of data processing, and the method comprises the following steps: determining a text corpus and labeling, and constructing an index to obtain a labeled corpus; setting seed data used for representing relation information, retrieving corresponding sentences, and determining a retrieval word distance of the sentences, a grammar analysis tree distance of retrieval words and a grammar analysis tree distance of verb phrases; determining a weighted value of each verb phrase of the sentence according to a weight rule on the basis of the determined distance of each item of the sentence; k target verb phrases with the highest weighted value sum are obtained through summarizing; retrieving sentences including the target verb phrases from the tagged corpus, and verifying the sentences according to a preset rule; and summarizing the verified sentences into knowledge extraction content corresponding to the seed data. By applying the scheme, knowledge extraction can be effectively carried out, the universality is high, the recall rate is high, and high-quality knowledge extraction content can be obtained.
Description
technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a knowledge extraction method, system, device and storage medium. Background technique [0002] With the development of big data, machine learning and artificial intelligence in different application fields, information extraction technology has developed rapidly. Knowledge extraction and knowledge graph construction technology based on semi-structured data have been widely used in search, recommendation, data analysis, natural language processing. , image recognition and other fields, and achieved very significant success. However, the traditional knowledge extraction technology for semi-structured data cannot handle the massive unstructured text data in the big data environment, causing a lot of waste of resources and restricting the further development of knowledge graphs, and has a negative impact on the effect of downstream tasks. Therefore, the task of...
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Login to View More IPC IPC(8): G06F16/31G06F16/36G06F40/253G06F40/30
CPCG06F16/313G06F16/367G06F40/253G06F40/30
Inventor 刘宇王丽郭振华赵雅倩李仁刚闫瑞栋刘璐徐聪金良贾麒
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD