Semantic feature models have become a popular tool for prediction and interpretation of fMRI data. In particular, prior work has shown that differences in the fMRI patterns in sentence reading can be explained by context-dependent changes in the semantic feature representations of the words. However, whether the subjects are aware of such changes and agree with them has been an open question. This paper aims to answer this question through a human-subject study. Subjects were asked to judge how the word change from their generic meaning when the words were used in specific sentences. The judgements were consistent with the model predictions well above chance. Thus, the results support the hypothesis that word meaning change systematically depending on sentence context.
翻译:语义特征模型已成为预测和解释FMRI数据的流行工具,特别是,先前的工作表明,在句子阅读中,FMRI模式的差异可以用词义表达方式的根据变化来解释,然而,主体是否意识到这些变化并同意这些变化是一个未决问题,本文件旨在通过一项人文研究来回答这个问题,在具体句子中使用这些词时,请主题判断这个词从其通用含义中的变化情况,这些判断与模型预测完全吻合,因此,结果支持了一个假设,即词意根据判刑背景系统地改变。