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计算机系统应用英文版:2021,30(2):63-69
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基于深度学习的“一人多案”风险预警系统
(1.中国科学院 软件研究所 软件工程技术研究开发中心, 北京 100190;2.中国科学院大学, 北京 100049)
Risk Pre-Warning System of “One Person with Multiple Cases” Based on Deep Learning
(1.Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100049, China)
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Received:March 10, 2020    Revised:April 10, 2020
中文摘要: 针对在法院立案-审判-执行全流程阶段, 多起案件中存在的当事人或者案件事实相同的情况, 即“一人多案”, 造成了司法资源浪费与不合理使用, 设计实现了基于深度学习的“一人多案”风险预警系统. 该系统基于深度学习技术和海量裁判文书数据, 通过对案件文本的向量表示建模, 提出了面向法律文书的案由识别和相似度量方法, 结合法律业务规则进行“一人多案”关联识别, 并给出风险预警报告. 该系统能够为司法资源统筹提供技术支持, 为法院公正、高效地审理案件提供保障.
Abstract:During the court’s case-trial-enforcement process, the parties involved in multiple cases or the facts of the case are sometimes the same, namely “one person with multiple cases”, resulting in the waste and unreasonable allocation of judicial resources. Then a risk pre-warning system of one person with multiple cases based on deep learning is designed and implemented. This system is based on deep learning technology and massive judgment documents. Case identification and similarity measure for legal documents are proposed by modeling the vector representation of the case text, and one person with multiple cases is associated with the legal business rules, providing the risk pre-warning report. This system can offer technical support for judicial resource coordination, supporting courts to try cases fairly and efficiently.
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基金项目:国家重点研发计划 (2018YFC0831302)
引用文本:
马志柔,马新宇,刘杰,叶丹.基于深度学习的“一人多案”风险预警系统.计算机系统应用,2021,30(2):63-69
MA Zhi-Rou,MA Xin-Yu,LIU Jie,YE Dan.Risk Pre-Warning System of “One Person with Multiple Cases” Based on Deep Learning.COMPUTER SYSTEMS APPLICATIONS,2021,30(2):63-69