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Quantitative Characteristics of Human-Written Short Stories as a Metric for Automated Storytelling

机译：人性短篇小说的定量特征，作为自动讲故事的公制

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Evaluating the extent to which computer-produced stories are structured like human-invented narratives can be an important component of the quality of a story plot. In this paper, we report on an empirical experiment in which human subjects have invented short plots in a constrained scenario. The stories were annotated according to features commonly found in existing automatic story generators. The annotation was designed to measure the proportion and relations of story components that should be used in automatic computational systems for matching human behaviour. Results suggest that there are relatively common patterns that can be used as input data for identifying similarity to human-invented stories in automatic storytelling systems. The found patterns are in line with narratological models, and the results provide numerical quantification and layout of story components. The proposed method of story analysis is tested over two additional sources, the ROCStories corpus and stories generated by automated storytellers, to illustrate the valuable insights that may be derived from them.
机译：评估计算机制作故事的程度，如人类发明的叙述可以是故事情节质量的重要组成部分。在本文中，我们报告了一个实证实验，其中人类受试者在受约束的情况下发明了短地块。这些故事根据现有的自动故事发生器中常见的特征注释。注释旨在衡量用于匹配人类行为的自动计算系统中应使用的故事组件的比例和关系。结果表明，存在相对常见的模式，可以用作识别自动讲故事系统中的人类发明故事的相似性的输入数据。发现的模式符合叙述模型，结果提供了数值量化和故事组件的布局。建议的故事分析方法是在两个额外的源，狂欢节语料库和由自动讲故事讲述者产生的故事中进行测试的，以说明可能导出的有价值的见解。

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