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：在民事诉讼程序中，当事人提交的书面材料完整呈现了案件的发展脉络。从这些文本材料中提取案件关键信息并厘清各方争议焦点，是一项困难但必要的任务。当前，司法工作人员采用人工阅读材料、关键词检索和正则匹配等方法获取目标信息。这些方法耗时耗力，且高度依赖工作人员的先验知识和细致程度。为提升工作人员办案效率与准确性，本文提出一种基于两轮标注事件抽取技术的离婚案件争议焦点检测方法。基于该方法，我们实现司法智能辅助系统，能够：1）自动抽取离婚案件材料中的焦点事件，2）通过识别事件间的共指关系实现事件对齐，3）检测原告与被告陈述事件间的冲突。借助该系统，法官可便捷判定争议焦点。实验结果表明，与现有方法相比，本文所提方法及系统能更高效、准确地获取案件焦点并检测冲突。