Creating Character Networks with Kinship Relations from Comics
Creating Character Networks with Kinship Relations from Comics
复制标题
从漫画中创建具有亲属关系的角色网络
DOI：
10.52731/ijskm.v4.i1.468
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ryota Kyogoku
中科院分区：
文献类型：
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作者：
Harumi Murakami;Yusuke Nagaoka;Ryota Kyogoku
为了发现和理解漫画内容，我们提出了一种使用面板和对话气球从漫画中创建具有语义关系的角色网络的方法。首先，我们建立一个数据集，其中包含漫画的字符和由面板分隔的对话气球中的单词。其次，我们利用对话框和对话框中的单词来提取字符之间的语义关系。第三，我们通过使用字符的频率和它们的相关性来识别重要的字符，然后我们将语义关系添加到这些网络中来开发字符网络。作为发现语义关系的第一步，我们关注亲属关系。我们实现了我们的方法，并成功地从四个流行的日本漫画建立字符网络。最后，我们评估我们的亲属关系提取算法和创建的字符网络。
To find and understand comic contents, we present an approach of creating character networks with semantic relations from comics using the panels and speech balloons. First, we build a dataset that contains a comic’s characters and its words in speech balloons separated by the panels. Second, we extract the semantic relations among characters using the words in the speech balloons and panels. Third, we develop character networks by identifying the important characters using the frequencies of characters and their relatedness, and then we add semantic relations to these networks. As an initial step in finding semantic relations, we focus on kinship relations. We implement our approach and successfully build character networks from four popular Japanese comics. Finally, we evaluate our kinship relation extraction algorithms and the created character networks.