典型文献
A full-process intelligent trial system for smart court
文献摘要：
In constructing a smart court, to provide intelligent assistance for achieving more efficient, fair, and explainable trial proceedings, we propose a full-process intelligent trial system (FITS). In the proposed FITS, we introduce essential tasks for constructing a smart court, including information extraction, evidence classification, question generation, dialogue summarization, judgment prediction, and judgment document generation. Specifically, the preliminary work involves extracting elements from legal texts to assist the judge in identifying the gist of the case efficiently. With the extracted attributes, we can justify each piece of evidence's validity by establishing its consistency across all evidence. During the trial process, we design an automatic questioning robot to assist the judge in presiding over the trial. It consists of a finite state machine representing procedural questioning and a deep learning model for generating factual questions by encoding the context of utterance in a court debate. Furthermore, FITS summarizes the controversy focuses that arise from a court debate in real time, constructed under a multi-task learning framework, and generates a summarized trial transcript in the dialogue inspectional summarization (DIS) module. To support the judge in making a decision, we adopt first-order logic to express legal knowledge and embed it in deep neural networks (DNNs) to predict judgments. Finally, we propose an attentional and counterfactual natural language generation (AC-NLG) to generate the court's judgment.
文献关键词：
中图分类号：
作者姓名：
Bin WEI;Kun KUANG;Changlong SUN;Jun FENG;Yating ZHANG;Xinli ZHU;Jianghong ZHOU;Yinsheng ZHAI;Fei WU
作者机构：
Guanghua Law School,Zhejiang University,Hangzhou 310008,China;College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;Alibaba Group,Hangzhou 310099,China;State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,China;Zhejiang Higher People's Court,Hangzhou 310012,China
文献出处：
引用格式：
[1]Bin WEI;Kun KUANG;Changlong SUN;Jun FENG;Yating ZHANG;Xinli ZHU;Jianghong ZHOU;Yinsheng ZHAI;Fei WU-.A full-process intelligent trial system for smart court)[J].信息与电子工程前沿（英文）,2022(02):186-206
A类：
FITS,gist,presiding,utterance,inspectional
B类：
full,process,intelligent,trial,system,smart,court,In,constructing,provide,assistance,achieving,fair,explainable,proceedings,we,proposed,introduce,essential,tasks,including,information,extraction,evidence,classification,generation,dialogue,summarization,prediction,document,Specifically,preliminary,involves,extracting,elements,from,legal,texts,judge,identifying,case,efficiently,With,extracted,attributes,can,justify,each,piece,validity,by,establishing,its,consistency,across,During,design,automatic,questioning,robot,It,consists,finite,state,machine,representing,procedural,deep,learning,model,generating,questions,encoding,context,debate,Furthermore,summarizes,controversy,focuses,that,arise,real,constructed,under,multi,framework,generates,summarized,transcript,DIS,module,To,support,making,decision,adopt,first,order,logic,express,knowledge,embed,neural,networks,DNNs,judgments,Finally,attentional,counterfactual,natural,language,AC,NLG
AB值：
0.55117
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