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Method for supporting analysis of personal relationships through place names extracted from documents

机译：通过从文档中提取的地名来支持人际关系分析的方法

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Visualizing information extracted from text is helpful for intuitively understanding the information. Extracting and visualizing personal relationships from text is one of the promising applications of this approach. Existing methods usually estimate personal relationships from direct co-occurrences of personal names that appear in a text. In our previous work, we proposed a method for extracting personal relationships from indirect co-occurrence relationships obtained through place names. This method can estimate the relationships among persons who do not necessarily have direct relationships. These relationships are visualized in a network graph. However, it becomes difficult to grasp the relationships when the number of persons increases. In this paper, we propose a method that supports analyzing the extracted personal relationships through place names and that is based on our previous work. Our goal is to support analysis by providing the information of the clustering of closely related people and important place names for each cluster. The proposed method was applied to a Japanese historical chronicle written in the 12th century. Experimental results showed a strong correspondence to the known historical facts. The results also indicate that the proposed method might be able to uncover the characteristics of people whose histories are not clearly known yet.
机译：可视化从文本中提取的信息有助于直观地理解信息。从文本中提取和可视化个人关系是此方法的有前途的应用之一。现有方法通常根据出现在文本中的人名的直接同时出现来估计人际关系。在我们之前的工作中，我们提出了一种从通过地名获得的间接共现关系中提取人际关系的方法。该方法可以估计不一定具有直接关系的人之间的关系。这些关系在网络图中可视化。然而，当人数增加时，变得难以掌握关系。在本文中，我们基于以前的工作提出了一种支持通过地名分析提取的个人关系的方法。我们的目标是通过提供密切相关的人员的群集信息以及每个群集的重要地点名称来支持分析。所提出的方法被应用于12世纪的日本历史志中。实验结果显示出与已知历史事实的强烈对应。结果还表明，所提出的方法可能能够揭示尚未明确了解其历史的人们的特征。

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