基于法律裁判文书的法律判决预测

doi:10.11959/j.issn.2096-0271.2021055

大数据 ›› 2021, Vol. 7 ›› Issue (5): 164-175.doi: 10.11959/j.issn.2096-0271.2021055

• 研究 • 上一篇

基于法律裁判文书的法律判决预测

张虎¹, 潘邦泽¹, 谭红叶¹, 李茹¹^,²

¹ 山西大学计算机与信息技术学院，山西太原 030006
² 山西大学计算智能与中文信息处理教育部重点实验室，山西太原 030006

出版日期:2021-09-15 发布日期:2021-09-01
作者简介:张虎（1979- ），男，博士，山西大学计算机与信息技术学院副教授，主要研究方向为自然语言处理
潘邦泽（1996- ），男，山西大学计算机与信息技术学院硕士生，主要研究方向为自然语言处理
谭红叶（1971- ），女，博士，山西大学计算机与信息技术学院副教授，主要研究方向为自然语言处理
李茹（1963- ），女，博士，山西大学计算机与信息技术学院教授，主要研究方向为自然语言处理
基金资助:
国家自然科学基金资助项目(61936012);国家社会科学基金资助项目(18BYY074);山西省自然科学基金资助项目(201901D111028)

Legal judgment prediction based on legal judgment documents

Hu ZHANG¹, Bangze PAN¹, Hongye TAN¹, Ru LI¹^,²

¹ School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
² Key Laboratory of Computation Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan 030006, China

Online:2021-09-15 Published:2021-09-01
Supported by:
The National Natural Science Foundation of China(61936012);The National Social Science Foundation of China(18BYY074);The Natural Science Foundation of Shanxi Province(201901D111028)

摘要/Abstract

摘要：

针对智慧司法服务领域中“法律判决预测”任务的实际需求，探讨了法律判决预测任务的研究思路与实现路径，介绍了法律判决预测的整体框架和具体过程。基于从中国裁判文书网获取的海量真实案件数据和2018“中国法研杯”司法人工智能挑战赛的评测数据，整理了实验数据类别，规范了实验数据格式，形成了基于法律裁判文书大数据的法律判决预测数据集。在判决预测模型中，首先使用判决要素抽取方法提取出高质量的判决要素句，然后借鉴法官的判案思路，将整个法律判决预测任务转换为法条预测、罪名预测和刑期预测3项子任务，并分别构建了基于判决要素的预测模型。实验结果表明，所提方法在刑法类判决预测数据集上得到了有效的结果。

关键词: 法律判决预测, 判决要素抽取, 法条预测, 罪名预测, 刑期预测

Abstract:

According to the actual needs of the task of “legal judgment prediction” in the field of intelligent judicial services, the research ideas and implementation ways were discussed, and the overall framework and the specific process of this task were introduced.Based on the massive real cases obtained by China Judgments Online and the evaluation dataset of CAIL2018, the categories were sorted out.The format of the experimental dataset was standardized.And the prediction dataset of legal judgment prediction based on legal judgment documents was built.For the judgment prediction model,the high-quality sentences by using the method of decision elements extraction were extracted.Then refer to the judge’s judgment ideas, the whole task of legal judgment prediction was transform into three subtasks, namely the law articles prediction, the charge prediction, and the penalty prediction.Meanwhile, construct the prediction models based on the judgment elements respectively.The experimental results show that the proposed methods achieves excellent results on the criminal law judgment prediction dataset.

Key words: legal judgment prediction, decision elements extraction, law articles prediction, charge prediction, penalty prediction

中图分类号:

TP399

张虎, 潘邦泽, 谭红叶, 李茹. 基于法律裁判文书的法律判决预测[J]. 大数据, 2021, 7(5): 164-175.

Hu ZHANG, Bangze PAN, Hongye TAN, Ru LI. Legal judgment prediction based on legal judgment documents[J]. Big Data Research, 2021, 7(5): 164-175.

图/表 9

图1

图2

图3

图4

图5

图6

图7

表1

要素抽取任务实验结果"

模型	P	R	F₁
CNN	0.680	0.694	0.687
LSTM	0.554	0.616	0.583
BERT	0.733	0.739	0.736
BERT-LSTM	0.719	0.724	0.721
BERT-CNN	0.754	0.757	0.755
本文模型	$0 . 771$	$0 . 759$	$0 . 765$

表1

表2

判决预测任务实验结果"

任务	模型	P	R	F₁
法条预测	CNN	0.83	0.84	0.83
	LSTM	0.80	0.82	0.81
	本文模型	$0 . 88$	$0 . 85$	$0 . 86$
罪名预测	CNN	0.72	0.76	0.73
	LSTM	0.69	0.71	0.70
	本文模型	$0 . 77$	$0 . 79$	$0 . 78$
刑期预测	CNN	0.68	0.72	0.70
	LSTM	0.66	0.69	0.67
	本文模型	$0 . 70$	$0 . 73$	$0 . 71$

表2

参考文献 18

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基于法律裁判文书的法律判决预测

Legal judgment prediction based on legal judgment documents

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