Generating Récit from Sensor Data: Evaluation of a Task Model for Story Planning and Preliminary Experiments with GPS Data

B. B. Miranda, S. Caffiau, C. Garbay, François Portet
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引用次数: 3

Abstract

Automatic story generation is the subject of a growing research effort which has mainly focused on fictional stories. In this paper, we present some preliminary work to generate r´ (stories) from sensors data acquired during a ski sortie. In this approach, the story planning is performed using a task model that represents domain knowledge and sequential constraints between ski activities. To test the validity of the task model, a small-scale user evaluation was performed to compare the human perception of r´ ecit plans from hand writ...
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从传感器数据生成rsamcit:一个故事规划任务模型的评估和GPS数据的初步实验
自动故事生成是一个不断发展的研究课题,主要集中在虚构故事上。在本文中,我们提出了一些初步的工作,以产生r´(故事)从传感器数据中获得的滑雪突击。在这种方法中,故事规划是使用表示领域知识和滑雪活动之间的顺序约束的任务模型来执行的。为了验证任务模型的有效性,我们进行了小规模的用户评估,比较了人类对手写计划和手写计划的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Natural Language Generation from Pictographs A Personal Storytelling about Your Favorite Data Topic Transition Strategies for an Information-Giving Agent Sentence Ordering in Electronic Navigational Chart Companion Text Generation Generating Récit from Sensor Data: Evaluation of a Task Model for Story Planning and Preliminary Experiments with GPS Data
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