In formal procedure of civil cases, the textual materials provided by different parties describe the development process of the cases. It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties. Currently, officers read the materials manually and use methods, such as keyword searching and regular matching, to get the target information. These approaches are time-consuming and heavily depending on prior knowledge and carefulness of the officers. To assist the officers to enhance working efficiency and accuracy, we propose an approach to detect disputes from divorce cases based on a two-round-labeling event extracting technique in this paper. We implement the Judicial Intelligent Assistant (JIA) system according to the proposed approach to 1) automatically extract focus events from divorce case materials, 2) align events by identifying co-reference among them, and 3) detect conflicts among events brought by the plaintiff and the defendant. With the JIA system, it is convenient for judges to determine the disputed issues. Experimental results demonstrate that the proposed approach and system can obtain the focus of cases and detect conflicts more effectively and efficiently comparing with existing method.
翻译:在民事案件的正式程序中,不同当事方提供的文字材料描述了案件的发展过程。从这些文字材料中提取案件的关键信息并澄清相关当事方的争议焦点是一项艰巨但必要的任务。目前,工作人员需要手动阅读材料,并使用方法(如关键字搜索和正则匹配)来获得目标信息。这些方法耗时且严重依赖于工作人员的先前知识和细心程度。为了帮助工作人员提高工作效率和准确性,我们提出了一种基于两轮标记事件提取技术的方法来检测离婚案件中的争议。我们根据所提出的方法实现了智能司法助手(JIA)系统,用于自动从离婚案件材料中提取关键事件,通过识别其中的共指来对事件进行对齐,并检测原告和被告引起的事件之间的冲突。使用JIA系统,法官可方便地确定争议问题。实验结果表明,与现有方法相比,所提出的方法和系统能够更有效和有效地获取案件的关注点并检测冲突。