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A full-process intelligent trial system for smart court

Frontiers of Information Technology & Electronic Engineering 2022年第2期23卷 186-206页

作者： Bin WEI Kun KUANG Changlong SUN Jun FENG Yating ZHANG Xinli ZHU Jianghong ZHOU Yinsheng ZHAI Fei WU Guanghua Law School Zhejiang UniversityHangzhou 310008China College of Computer Science and Technology Zhejiang UniversityHangzhou 310027China Alibaba Group Hangzhou 310099China State Grid Zhejiang Electric Power Co. Ltd.Hangzhou 310007China Zhejiang Higher People’s Court Hangzhou 310012China

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 ***,the preliminary work involves extracting elements from legal texts to assist the judge in identifying the gist of the case *** the extracted attributes,we can justify each piece of evidence’s validity by establishing its consistency across all *** the trial process,we design an automatic questioning robot to assist the judge in presiding over the *** 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 ***,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)*** 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 ***,we propose an attentional and counterfactual natural language generation(AC-NLG)to generate the court’s judgment.

关键词： intelligent trial system Smart court Evidence analysis Dialogue summarization Focus of controversy Automatic questioning Judgment prediction

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