计算机应用与软件2024，Vol.41Issue(1)：18-25,8.DOI:10.3969/j.issn.1000-386x.2024.01.004
基于多任务学习的民事案件判决预测方法
CIVIL CASE JUDGMENT PREDICTION METHOD BASED ON MULTI-TASK LEARNING
摘要
Abstract
Aiming at the problem of multiple combinations of laws and regulations for civil case prediction,this paper proposes a civil case judgment prediction method based on multi-task learning.It used a variety of strategies such as CNN model fusion and threshold setting,and used the dependence between legal disputes and legal articles to realize the joint judgment prediction of legal disputes and legal articles in civil cases.Based on the civil cases of China Judgment Online,a dataset of 100,000 civil cases was constructed,and multiple sets of experiments were performed on the dataset.Experimental results show that compared with traditional prediction models,this method is more reasonable and effective for the prediction task with dependency.关键词
纠纷预测/法条预测/多任务学习Key words
Law dispute prediction Law/article prediction/Multi-task learning分类
计算机与自动化引用本文复制引用
余连玮,马志柔,刘杰,叶丹..基于多任务学习的民事案件判决预测方法[J].计算机应用与软件,2024,41(1):18-25,8.基金项目
国家重点研发计划项目(2018YFC0831302). （2018YFC0831302）
