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.

本文介绍了基于两轮标注事件抽取技术的离婚案件纠纷识别方法，并实现了相应的司法智能助理系统，该系统可有效地从离婚案件材料中提取重点事件，识别事件之间的指代关系，并检测原告与被告之间的冲突。实验结果表明，该方法和系统相比现有方法能更加高效地获取案件争点和检测冲突。