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A Computational Model for Reference Object Selection in Spatial Relations

机译:空间关系中参考对象选择的计算模型

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Automatic generation of adequate spatial relations with regard to reference object selection is a nontrivial problem. In the present paper, we develop, implement and evaluate a computational model for reference object selection using empirically derived conceptual spatial strategies. The attribution of roles (reference object and located object) in object configurations was investigated to derive conceptual spatial strategies with regard to size and position of the objects. These strategies were implemented in a computational model to generate spatial descriptions of furniture configurations. To evaluate the automatically generated descriptions, we contrasted them with analog sentences with inverted roles of reference and located object and asked participants to choose the more adequate description out of the two. The spatial descriptions automatically generated were chosen significantly more often. This indicates that taking spatial conceptual strategies into account improves the adequacy of automatically generated spatial descriptions.
机译:关于参考对象选择的自动生成适当的空间关系是一个不小的问题。在本文中,我们使用经验导出的概念空间策略开发,实现和评估用于参考对象选择的计算模型。研究了对象配置中角色(参考对象和所定位对象)的属性,以得出有关对象大小和位置的概念性空间策略。这些策略在计算模型中实施,以生成家具配置的空间描述。为了评估自动生成的描述,我们将它们与具有引用和定位对象反转角色的模拟句子进行了对比,并要求参与者从两者中选择更合适的描述。自动生成的空间描述的选择频率更高。这表明考虑空间概念策略可改善自动生成的空间描述的适当性。

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