基于文本生成的司法裁判文书辅助生成系统

By constructing a dynamic knowledge base and multi-dimensional rule conflict identification, the problems of data lag and error transmission in the judicial judgment document system have been solved, realizing the efficient and accurate automated generation of judgment documents and reducing the time cost for judges to check for conflicts.

CN121303085BActive Publication Date: 2026-07-17SUZHOU SPACE INTELLIGENCE TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SUZHOU SPACE INTELLIGENCE TECHNOLOGY CO LTD
Filing Date
2025-09-26
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing judicial judgment document generation systems suffer from time lag and error propagation issues during data training, which may lead to errors or inaccuracies in the generated documents. Furthermore, they lack effective rule conflict detection and priority determination mechanisms.

Method used

A dynamic knowledge base is constructed using knowledge graph technology. Combined with deep semantic understanding and rule conflict identification modules, the system automatically generates judgment documents and identifies and resolves rule conflicts through effect level annotation and multi-dimensional judgment models, outputting accurate judgment documents.

Benefits of technology

It has enabled the efficient and automated generation of judgment documents, reduced contradictions in the application of law, improved the accuracy and standardization of documents, reduced the time cost for judges to investigate conflicts, and avoided the defects of knowledge lag.

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Abstract

本发明涉及自然语言处理技术领域,本发明公开了基于文本生成的司法裁判文书辅助生成系统,包括:知识库动态更新模块、语言理解文书归类模块、辅助系统文本预生成模块、预生成规则冲突识别模块、规则优先级动态判定模块以及辅助系统文本输出模块,对案件文本材料进行深度语义理解,提取关键案件要素,并依据提取的关键案件要素进行文书归类,获取匹配文书模板,对预生成的裁判文书中的引用规则标注效力层级分值,并依据效力层级分值进行规则冲突检测识别,基于识别出的规则冲突,通过多维度判定模型确定规则优先级,将经过规则冲突处理和优先级判定后的裁判文书输出至用户终端,极大地提高了司法裁判文书的生成效率和准确性。
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