Legal knowledge graph construction method and equipment based on entity relationship joint extraction

Abstract

The invention discloses a legal knowledge graph construction method and equipment based on entity relationship joint extraction. The construction method comprises the following steps: constructing a triple data set; designing a model architecture and training a model, wherein the model architecture comprises a model coding layer, a head entity extraction layer and a relation-tail entity extraction layer; judging a relationship between text sentences; and carrying out triple compounding and map visualization. According to the design of the model architecture, a Chinese bert pre-training model is adopted as an encoder, and the Chinese text encoding effect is good. According to the entity extraction part, two BiLSTM binary classifiers are adopted to judge the starting position and the ending position of an entity, and the entity in a phrase form in a text can be effectively extracted. According to the method, the head entity is firstly extracted, then the tail entity corresponding to the entity relationship is extracted from the extracted head entity, and when the entity relationship and the tail entity are extracted, not only is coded information of sentences used, but also coded information of the head entity is fused. According to the method, the legal knowledge graph with relatively high accuracy can be obtained.

Description

technical field [0001] The invention belongs to the field of electronic information, and in particular relates to a method and equipment for constructing a legal knowledge graph based on joint extraction of entity relationships. Background technique [0002] Knowledge Graph, known as knowledge domain visualization or knowledge domain mapping map in the library and information industry, is a series of different graphics showing the knowledge development process and structural relationship, using visualization technology to describe knowledge resources and their carriers, mining , analyze, construct, map and display knowledge and their interconnections. The knowledge map is a combination of theories and methods of applied mathematics, graphics, information visualization technology, information science and other disciplines with metrology citation analysis, co-occurrence analysis and other methods, and uses the visual map to vividly display the core structure and development of...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the accuracy rate of knowledge map construction in the legal field cannot be guaranteed in the prior art, and provide a method and device for constructing a legal knowledge map based on joint extraction of entity relationships, so as to obtain a knowledge map with high accuracy

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