Vigliocco Gabriella, Vinson David P, Lewis William, Garrett Merrill F
Department of Psychology, University College of London, 26 Bedford Way, London WC1H OAP, UK.
Cogn Psychol. 2004 Jun;48(4):422-88. doi: 10.1016/j.cogpsych.2003.09.001.
This paper presents the Featural and Unitary Semantic Space (FUSS) hypothesis of the meanings of object and action words. The hypothesis, implemented in a statistical model, is based on the following assumptions: First, it is assumed that the meanings of words are grounded in conceptual featural representations, some of which are organized according to modality. Second, it is assumed that conceptual featural representations are bound into lexico-semantic representations that provide an interface between conceptual knowledge and other linguistic information (syntax and phonology). Finally, the FUSS model employs the same principles and tools for objects and actions, modeling both domains in a single semantic space. We assess the plausibility of the model by showing that it can capture generalizations presented in the literature, in particular those related to category-related deficits, and show that it can predict semantic effects in behavioral experiments for object and action words better than other models such as Latent Semantic Analysis (Landauer & Dumais, 1997) and similarity metrics derived from Wordnet (Miller & Fellbaum, 1991).
本文提出了关于物体和动作词汇意义的特征与统一语义空间（FUSS）假说。该假说通过一个统计模型来实现，基于以下假设：首先，假定词汇的意义基于概念特征表征，其中一些是根据模态来组织的。其次，假定概念特征表征被绑定到词汇语义表征中，这些表征在概念知识与其他语言信息（句法和音系）之间提供了一个接口。最后，FUSS模型对物体和动作采用相同的原则和工具，在单一语义空间中对这两个领域进行建模。我们通过表明该模型能够捕捉文献中呈现的一般规律，特别是那些与类别相关缺陷有关的规律，来评估模型的合理性，并表明它在行为实验中对物体和动作词汇的语义效应的预测比其他模型（如潜在语义分析（Landauer & Dumais，1997）以及从Wordnet派生的相似性度量（Miller & Fellbaum，1991））更好。
