The task of prison term prediction is to predict the term of penalty based on textual fact description for a certain type of criminal case.Recent advances in deep learning frameworks inspire us to propose a two-step m...The task of prison term prediction is to predict the term of penalty based on textual fact description for a certain type of criminal case.Recent advances in deep learning frameworks inspire us to propose a two-step method to address this problem.To obtain a better understanding and more specific representation of the legal texts,we summarize a judgment model according to relevant law articles and then apply it in the extraction of case feature from judgment documents.By formalizing prison term prediction as a regression problem,we adopt the linear regression model and the neural network model to train the prison term predictor.In experiments,we construct a real-world dataset of theft case judgment documents.Experimental results demonstrate that our method can effectively extract judgment-specific case features from textual fact descriptions.The best performance of the proposed predictor is obtained with a mean absolute error of 3.2087 months,and the accuracy of 72.54%and 90.01%at the error upper bounds of three and six months,respectively.展开更多
Compared with the traditional offenses of embezzlement, bribe-taking and so on, the misappropriation of public funds is not a routine charge but a result of the response of criminal law to social transition. The fact ...Compared with the traditional offenses of embezzlement, bribe-taking and so on, the misappropriation of public funds is not a routine charge but a result of the response of criminal law to social transition. The fact that a number of difficulties have arisen in legislative and judicial procedures relating to this offense makes the value of case reference material significant. The Supreme People＇s Court of China attaches great importance to the publication of cases of misappropriation of public funds, which offer guidance and reference for real-life adjudication. Cases publicized in the last decade reflect a judicial emphasis-- they focus on the official nature of the duties performed by the subject, on understanding ＂for individual use＂ from the viewpoint of formal rationality and on a cautious interpretation of the connotations of ＂public funds.＂ Publicizing such cases facilitates reaching the same verdict in similar cases and at the same time acts as a catalyst for the advancement of theory and practice.展开更多
基金This work is supported in part by the National Key Research and Development Program of China under grants 2018YFC0830602 and 2016QY03D0501in part by the National Natural Science Foundation of China(NSFC)under grants 61872111,61732022 and 61601146.
文摘The task of prison term prediction is to predict the term of penalty based on textual fact description for a certain type of criminal case.Recent advances in deep learning frameworks inspire us to propose a two-step method to address this problem.To obtain a better understanding and more specific representation of the legal texts,we summarize a judgment model according to relevant law articles and then apply it in the extraction of case feature from judgment documents.By formalizing prison term prediction as a regression problem,we adopt the linear regression model and the neural network model to train the prison term predictor.In experiments,we construct a real-world dataset of theft case judgment documents.Experimental results demonstrate that our method can effectively extract judgment-specific case features from textual fact descriptions.The best performance of the proposed predictor is obtained with a mean absolute error of 3.2087 months,and the accuracy of 72.54%and 90.01%at the error upper bounds of three and six months,respectively.
文摘Compared with the traditional offenses of embezzlement, bribe-taking and so on, the misappropriation of public funds is not a routine charge but a result of the response of criminal law to social transition. The fact that a number of difficulties have arisen in legislative and judicial procedures relating to this offense makes the value of case reference material significant. The Supreme People＇s Court of China attaches great importance to the publication of cases of misappropriation of public funds, which offer guidance and reference for real-life adjudication. Cases publicized in the last decade reflect a judicial emphasis-- they focus on the official nature of the duties performed by the subject, on understanding ＂for individual use＂ from the viewpoint of formal rationality and on a cautious interpretation of the connotations of ＂public funds.＂ Publicizing such cases facilitates reaching the same verdict in similar cases and at the same time acts as a catalyst for the advancement of theory and practice.
