计算机科学 ›› 2019, Vol. 46 ›› Issue (9): 211-215.doi: 10.11896/j.issn.1002-137X.2019.09.031

• 人工智能 • 上一篇    下一篇

面向法律裁判文书的法条推荐方法

张虎1, 王鑫1, 王冲1, 程豪1, 谭红叶1, 李茹1,2   

  1. (山西大学计算机与信息技术学院 太原030006)1;
    (山西大学计算智能与中文信息处理教育部重点实验室 太原030006)2
  • 收稿日期:2018-08-29 出版日期:2019-09-15 发布日期:2019-09-02
  • 通讯作者: 张 虎(1979-),男,博士,副教授,CCF会员,主要研究方向为自然语言处理,E-mail:zhanghu@sxu.edu.cn
  • 作者简介:王 鑫(1994-),男,硕士生,主要研究方向为自然语言处理;王 冲(1995-),男,硕士生,主要研究方向为自然语言处理;程 豪(1993-),男,硕士生,主要研究方向为自然语言处理;谭红叶(1971-),女,博士,副教授,主要研究方向为自然语言处理、信息抽取;李 茹(1963-),女,博士,教授,主要研究方向为中文信息处理、数据智能预测。
  • 基金资助:
    国家社会科学基金项目(18BYY074)

Law Article Prediction Method for Legal Judgment Documents

ZHANG Hu1, WANG Xin1, WANG Chong1, CHENG Hao1, TAN Hong-ye1, LI Ru1,2   

  1. (School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China)1;
    (Key Laboratory of Computing Intelligence and Chinese Information Processing,Ministry of Education,Shanxi University,Taiyuan 030006,China)2
  • Received:2018-08-29 Online:2019-09-15 Published:2019-09-02

摘要: 近年来,司法领域中针对法律裁判文书的分析和基于案例事实描述的结果预测已成为计算法律学的热点研究问题。法条推荐任务是基于司法案例的事实描述预测该案例适用的法条,已成为智慧司法的一项重要研究内容。通过分析法律文书的事实描述和法条的具体司法解释,挖掘司法文书事实描述部分的特征,提出了基于多模型融合的法条推荐方法。基于“中国法研杯”司法人工智能挑战赛中的公开数据,构建了3个不同规模的实验数据集,并分别在不同数据集上进行了多组实验。实验结果表明,相比于单一的法条推荐模型,所提方法能有效地提高任务的准确率,并且能较好地解决单一案例事实描述对应多个法条的推荐问题。

关键词: 裁判文书, 法条推荐, 模型融合, 智慧司法

Abstract: Inrecent years,the analysis of legal judgment documents and the prediction of results based on case facts in the judicial field have become the hot research topics in AI law.The law article prediction task is based on the factual description of the judicial case to predict the applicable law of the cases,which has become an important research content of wisdom justice.After analyzing the factual description of the legal documents and the specific judicial interpretation of the law,and excavating the characteristics of the factual description part of the judicial document,a method of recommending the law based on multi-model fusion was proposed.Based on the public dataset in the “CAIL2018” Judicial Artificial Intelligence Challenge,three datasets were constructed from different angles,and multiple sets of experiments were performed on each dataset.The experimental results show that the proposed method is simpler than the single model of law article prediction.The proposed method can effectively improve the accuracy of the task,and can better solve the recommendation problem of multiple cases in a single case fact description.

Key words: Judgment documents, Law article prediction, Model fusion, Wisdom justice

中图分类号: 

  • TP391
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