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Revisiting Computational Models of Creative Storytelling Based on Imaginative Recall

机译:基于想象回忆的创新叙事计算模型

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Certain story generation systems consider the processes of imaginative recall and adaptation as central to human creativity in storytelling. Researchers have recently compared the output of these systems through the lens of Boden's types of creativity. This comparison highlights the contribution of predefined structures to story predictability, which influences perceived creativity. We revisit the connection between knowledge structures and story predictability, and compare Minstrel's use of knowledge structures versus the use of Story Intention Graphs (SIGs) as the underlying case frames. Semantic information encoded in the SIG produces coherent stories and retains the imaginative recall and generalization aspect of Minstrel's creative process. Mapping knowledge structures to SIGs enables the use of a common representation that is directly connected to surface realization. This opens up the performative aspect of creativity that does not come out in templated text outputs.
机译:某些故事生成系统将富有想象力的回忆和改编过程视为讲故事中人类创造力的核心。研究人员最近通过Boden的创造力类型比较了这些系统的输出。这种比较突出了预定义结构对故事可预测性的贡献,这会影响感知的创造力。我们重新审视了知识结构和故事可预测性之间的联系,并比较了明斯特雷尔对知识结构的使用与故事意图图(SIG)的使用作为基础案例框架。 SIG中编码的语义信息产生了连贯的故事,并保留了Minstrel创作过程中富有想象力的回忆性和概括性。将知识结构映射到SIG可以使用直接连接到表面实现的通用表示形式。这打开了创造力的表现方面,而模板文本输出中没有表现出来。

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