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What plausibly affects plausibility? Concept coherence and distributional word coherence as factors influencing plausibility judgments

机译：哪些因素可能影响合理性？概念一致性和分布词一致性是影响合理性判断的因素

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摘要

Our goal was to investigate the basis of human plausibility judgments. Previous research had suggested that plausibility is affected by two factors: concept coherence (the inferences made between parts of a discourse) and word coherence (the distributional properties of the words used). In two experiments, participants were asked to rate the plausibility of sentence pairs describing events. In the first, we manipulated concept coherence by using different inference types to link the sentences in a pair (e.g., causal or temporal). In the second, we manipulated word coherence by using latent semantic analysis, so two sentence pairs describing the same event had different distributional properties. The results showed that inference type affects plausibility; sentence pairs linked by causal inferences were rated highest, followed by attributal, temporal, and unrelated inferences. The distributional manipulations had no reliable effect on plausibility ratings. We conclude that the processes involved in rating plausibility are based on evaluating concept coherence, not word coherence.
机译：我们的目标是调查人类真实性判断的基础。先前的研究表明，合理性受两个因素影响：概念连贯性（话语各部分之间的推论）和单词连贯性（所用单词的分布特性）。在两个实验中，要求参与者评估描述事件的句子对的合理性。首先，我们通过使用不同的推理类型来将句子成对链接（例如因果关系或时间关系）来操纵概念的一致性。在第二篇文章中，我们通过使用潜在语义分析来控制单词的连贯性，因此描述同一事件的两个句子对具有不同的分布特性。结果表明，推理类型会影响合理性。因果推理联系在一起的句子对被评为最高，其次是归因，时间和无关的推理。分布操作对合理性等级没有可靠的影响。我们得出的结论是，评定合理性的过程基于评估概念的一致性，而不是词的一致性。

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