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A legal cognition method, device and medium based on multi-level and multi-dimensional semantic understanding

A semantic understanding, multi-dimensional technology, applied in semantic analysis, natural language data processing, data processing applications, etc., can solve the problem that word segmentation and other technologies cannot meet the needs of practical applications, and cannot realize the conversion from literal meaning to legal meaning, information extraction and Poor analysis and other issues

Active Publication Date: 2021-08-27
北京华宇元典信息服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, for legal professional "management without cause", "unjust enrichment" and specific causes of action, charges, etc., general word segmentation and other technologies cannot meet the actual application needs
[0005] The second is insufficient research on the basic attributes, characteristics, and rules of legal texts, resulting in ineffective information extraction and analysis of various texts, including judgment documents, procuratorial documents, pleadings and defense opinions, evidence materials, etc.
There are still insufficient understanding effects at the level of phrases and sentences, resulting in the inability to realize the conversion from literal meaning to legal meaning, let alone the unified cognition and expansion of natural facts, plots and evidence in complicated cases

Method used

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  • A legal cognition method, device and medium based on multi-level and multi-dimensional semantic understanding
  • A legal cognition method, device and medium based on multi-level and multi-dimensional semantic understanding
  • A legal cognition method, device and medium based on multi-level and multi-dimensional semantic understanding

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Embodiment Construction

[0058] Those skilled in the art should understand that in the legal field, the meaning and boundary of the legal concept framework proposed by the present invention are clear, that is, it includes all legal concepts and their legal frameworks, and the division of the legal framework can include Chinese and foreign laws. system, which can also include, but is not limited to, central and local legal and regulatory systems. The relationship between legal knowledge points and legal framework is also self-evident, that is, it complies with the knowledge framework of the entire legal system, and the understanding of existing legal knowledge points and legal framework is included in the scope of protection of the present invention. In addition, the relationship between legal knowledge points and legal concept framework or jurisprudence framework also complies with the consensus system of existing and future legal development. associated.

[0059] Those skilled in the art should also...

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Abstract

The invention relates to a machine learning technology in the field of artificial intelligence to understand legal knowledge through multi-level and multi-dimensional semantics, belonging to the field of artificial intelligence. The method, device and computer-readable medium involved in the present invention preprocess legal text content to obtain legal text information, generate semantic concept aggregation based on similar word models, similar phrase models, and similar long sentence models to build semantic understanding modules, Generate legal attributes and legal rules based on the legal attribute extraction model to construct a legal rule module, and the semantic understanding module and / or legal rule construction module recognizes the legal text information and generates a legal knowledge map. The in-depth understanding of natural language in legal texts expands the processing capabilities of artificial intelligence legal knowledge.

Description

technical field [0001] The invention relates to intelligent semantic understanding and processing utilizing the field of artificial intelligence, and belongs to the field of artificial intelligence. Background technique [0002] Natural language processing (NLP) is the field of computer science, artificial intelligence, and linguistics concerned with the interaction between computers and human (natural) language. For natural language understanding, especially semantic understanding, from the existing theories and technical status, although some natural language processing systems, especially those for specific business needs, have certain practicability, However, in the field of natural language processing of legal texts, there are no mature and professional technical achievements and commercial applications. [0003] As far as legal natural language understanding is concerned, the main issues include: [0004] One is the lack of development of a large-scale real corpus in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/284G06F40/289G06F40/211G06F40/30G06Q50/18
CPCG06Q50/18G06F40/211G06F40/284G06F40/289G06F40/30
Inventor 李东海黄晓宏
Owner 北京华宇元典信息服务有限公司