We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances' linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis with interactive and communication characteristics, and show that it can improve the identification performance. The interactive characteristics of fictional characters are captured by the descriptive analysis of semantic graphs weighted by linguistic markers of expressivity and social role. For this approach, we introduce a new data set of action movie character types with their corresponding sequences of dialogs. The evaluation results demonstrate that the integrated approach outperforms baseline approaches on the presented data set. Comparative in-depth analysis of a single screenplay leads on to the discussion of possible limitations of this approach and to directions for future research.

中文翻译：

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通过电影对话框自动识别字符类型。

我们研究了从虚构的对话文本（例如剧本）中检测字符类型的方法。由于基于话语语言特性分析的方法不足以识别所有虚构人物类型，因此我们开发了一种集成方法，该方法以交互和交流特性来补充语言分析，并表明它可以提高识别性能。小说人物的互动特征是通过对语义图的描述性分析（由表达性和社会角色的语言标记加权）来捕获的。对于这种方法，我们引入了动作电影角色类型的新数据集及其相应的对话框序列。评估结果表明，在所提供的数据集上，综合方法优于基线方法。