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Inference type precise intelligent question-answering method based on legal knowledge graph

A technology of knowledge graph and intelligent question answering, applied in the field of technology and law integration, can solve the problems of slow speed, legal knowledge graph without automatic question answering, poor applicability and so on

Inactive Publication Date: 2019-10-25
天津汇智星源信息技术有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But on the one hand, although knowledge graphs are already being constructed in some fields, they are all done manually, with too much workload, slow speed, and poor applicability; on the other hand, there is no legal knowledge graph for automatic question answering

Method used

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  • Inference type precise intelligent question-answering method based on legal knowledge graph
  • Inference type precise intelligent question-answering method based on legal knowledge graph
  • Inference type precise intelligent question-answering method based on legal knowledge graph

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] A reasoning and precise intelligent question answering method based on the legal knowledge graph, such as Figure 1-3 Shown:

[0034] 1. Knowledge graph module

[0035] The knowledge map module takes relevant data in the legal field as input, advanced preprocessing of the input data, and then extracts its legal knowledge, and then obtains the legal knowledge map by performing knowledge association and knowledge verification on the extracted legal knowledge. The knowledge map is a structured semantic knowledge base, which is used to quickly describe the concepts and their relationships in the physical world. By reducing the data granularity from the document level to the data level, a large amount of knowledge is aggregated, so as to achieve rapid response and reasoning of knowledge . Building a legal knowledge graph requires an iter...

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Abstract

The invention relates to an inference type precise intelligent question-answering method based on a legal knowledge graph. The method comprises a knowledge graph module which takes legal domain data as input and is used for carrying out advanced preprocessing on the input legal domain data, extracting legal knowledge of the legal domain data and carrying out knowledge association and knowledge verification on the extracted legal knowledge so as to obtain a knowledge graph; an intelligent questioning and answering module used for obtaining legal questions of the user by taking legal related question description proposed by the user as input through guiding type questioning based on knowledge graph reasoning and multiple rounds of questioning and answering, and finally giving answers; a multi-talent session management module used for coordinating a dialogue process between a user and a machine; a user portrait module used for establishing a user portrait according to daily questions of the user and emotion conditions during questioning, and knowing legal requirements of the user; and a question recommendation module used for pushing the legal demands of the user on the basis of the user portrait module. The construction speed of the legal knowledge graph can be increased, and the labor cost can be reduced.

Description

technical field [0001] The invention relates to a reasoning-type precise intelligent question-and-answer method based on a legal knowledge map, and belongs to the technical field of knowledge map and natural language processing and other technology and legal integration. Background technique [0002] China is a superpower with a population of 1.4 billion, but currently there are only about 300,000 lawyers in the country, and the supply of legal services is severely asymmetric. At the same time, the main legal service resources are mainly concentrated in large and medium-sized cities, and the coverage of legal service resources in some remote areas is quite limited. This has caused social phenomena such as high fees for lawyer services, low efficiency of legal services, and lack of channels for ordinary people to understand legal knowledge. Therefore, an automatic question answering system for legal questions is urgently needed to solve the problem of lack of legal service re...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/335G06F16/36
CPCG06F16/36G06F16/3329G06F16/335
Inventor 余梓飞张艳丽于锋杰
Owner 天津汇智星源信息技术有限公司
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