Reader-Model-Based Story Generation

Peter A. Mawhorter
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Abstract

Several existing systems have used reader models for story generation, but they have focused on either interactive contexts or pure discourse-level manipulation. I intend to buid a reader-model story generator that not only applies reader modelling to full plot generation, but which also draws on theories about intentionality and emotions put forward by Lisa Zunshine, Keith Oatley, and Raymond Mar. To evaluate the contributions of the reader model, I'll compare it with human-authored stories using measures of reader engagement. I'll also run the model on human-authored stories and compare the results to a human gold-standard analysis.
基于读者模型的故事生成
一些现有的系统已经使用读者模型来生成故事,但它们要么专注于交互上下文,要么专注于纯粹的话语层面操纵。我打算建立一个读者模型故事生成器,它不仅将读者建模应用于完整的情节生成,而且还借鉴了Lisa Zunshine、Keith Oatley和Raymond mar提出的意向性和情感理论。为了评估读者模型的贡献,我将使用读者参与的度量将其与人类创作的故事进行比较。我还将在人类撰写的故事上运行该模型,并将结果与人类的黄金标准分析进行比较。
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