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Annotation of Children's Oral Narrations: Modeling Emergent Narrative Skills for Computational Applications

机译:诠释儿童的口腔叙述:建模的计算应用叙事技能

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We present an annotation method for developing a model of children's comprehension that differentiates between their recall for the objective content of a story and inferred content. We apply the annotation method to a corpus of retellings, in which children retell the same story on three successive days. Our results indicate differences over time: on Day three, children have a more evenly distributed recall of events throughout the story, and include significantly more inferences. The results suggest a cognitive bootstrapping effect. We discuss the potential for application to diagnostic assessment of children's narrative skills and tutorial applications.
机译:我们提出了一种制定儿童理解模型的注释方法,这些方法在他们的召回之间区分故事的客观内容和推断内容。我们将注释方法应用于一个重塑盒的语料库,其中儿童在连续三天内重述了同样的故事。我们的结果表明差异随着时间的推移:在第三天,孩子们在整个故事中有更均匀分布的事件召回,并包括更多的推论。结果表明认知引导效果。我们讨论了申请诊断儿童叙事技能和辅导申请的潜力。

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