What plausibly affects plausibility? Concept coherence and distributional word coherence as factors influencing plausibility judgments
What plausibly affects plausibility? Concept coherence and distributional word coherence as factors influencing plausibility judgments
复制标题
DOI：
10.3758/bf03196851
复制
发表时间：
2004-03-01
影响因子：
2.4
通讯作者：
Keane, MT
中科院分区：
文献类型：
--
作者：
Connell, L;Keane, MT
我们的目标是调查人类合理性判断的基础。先前的研究表明，可信性受到两个因素的影响：概念连贯（话语各部分之间的推论）和词语连贯（所使用词语的分布特性）。在两个实验中，参与者被要求评价描述事件的句子对的可信性。在第一个实验中，我们通过使用不同的推理类型来将句子连接成一对（例如，因果或时间）来操纵概念一致性。第二，我们利用潜在语义分析来操纵词的连贯性，使得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，推理类型影响可信性；由因果推理联系起来的句子对得分最高，其次是定语推理、时间推理和不相关推理。分配操作对可信性评级没有可靠的影响。我们得出结论，评价可信性的过程是基于评价概念一致性，而不是单词一致性。
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.