骚扰
计算机科学
图表
阅读(过程)
订单(交换)
功率(物理)
可视化
依赖关系(UML)
组织结构图
法学
人工智能
政治学
管理
数学
统计
经济
财务
物理
量子力学
作者
Soichiro Tanaka,Toru Kano,Takako Akakura
出处
期刊:Springer eBooks
[Springer Nature]
日期:2022-01-01
卷期号:: 421-434
被引量:1
标识
DOI:10.1007/978-3-031-06424-1_31
摘要
AbstractPower harassment has become a problem in Japan recently. However, it has been found that reading judicial precedents is one of the ways to prevent it. In this paper, in order to promote the reading of judicial precedents, we visualized the relationships between people in judicial precedents, which are not easy for non-experts to read. We first extracted the words from the text of judicial precedents that represent people using morphological analysis. Next, we then extracted information about the relationship between the persons using dependency analysis. We then determined the direction of the extracted relationship. Finally, based on the automatically extracted relations between the persons, we visualized the structure of the case as relationship charts and fishbone diagrams. To confirm the usefulness of the proposed diagrams in reading judicial precedents, we conducted an evaluation experiment using both judicial precedents and diagrams on six Tokyo University of Science students. The results suggest that diagrams make it easier to read judicial precedents.KeywordsLearning support systemJudicial precedentsNatural language processingPower harassment
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