Map Task Deviation Scores: A Reconstruction

J. Reverdy, Hayakawa Akira, Carl Vogel
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引用次数: 0

Abstract

The Human Communication Research Centre Map Task Corpus is a landmark data source for analysis of multimodal dialogue corpora. The task in this dialogue is the communication by an information giver of a path on a map to an information follower. The corpus includes a measure of task success for each dialogue: the deviation from path scores (the information follower's path from the information giver's path). The original HCRC Map Task works gives information on how the scores for each map were calculated. However, upon analysis and inspection of the corpus materials, we find that it is not possible to reproduce the recorded scores exactly. We report four candidate reconstructions that all appear rational, and note the correlations these lead to with the deviation scores recorded with the corpus. This is important to anyone wishing to reproduce the HCRC method on map-task corpora.
地图任务偏差得分:重建
人类交际研究中心地图任务语料库是多模态对话语料库分析的标志性数据源。这个对话中的任务是由地图上的路径的信息提供者与信息追随者进行通信。语料库包括对每个对话的任务成功的度量:与路径分数的偏差(信息追随者的路径与信息提供者的路径)。原始的HCRC地图任务提供了关于如何计算每个地图分数的信息。然而,经过对语料库材料的分析和检查,我们发现不可能准确地复制记录的分数。我们报告了四个候选重构,它们都是合理的,并注意到这些重构与语料库记录的偏差分数之间的相关性。这对于任何希望在地图任务语料库上复制HCRC方法的人来说都很重要。
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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