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Augmenting Weak Semantic Cognitive Maps with an Abstractness Dimension

机译:用抽象性维增强弱语义认知图

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摘要

The emergent consensus on dimensional models of sentiment, appraisal, emotions, and values is on the semantics of the principal dimensions, typically interpreted as valence, arousal, and dominance. The notion of weak semantic maps was introduced recently as distribution of representations in abstract spaces that are not derived from human judgments, psychometrics, or any other a priori information about their semantics. Instead, they are defined entirely by binary semantic relations among representations, such as synonymy and antonymy. An interesting question concerns the ability of the antonymy-based semantic maps to capture all “universal” semantic dimensions. The present work shows that those narrow weak semantic maps are not complete in this sense and can be augmented with other semantic relations. Specifically, including hyponym-hypernym relations yields a new semantic dimension of the map labeled here “abstractness” (or ontological generality) that is not reducible to any dimensions represented by antonym pairs or to traditional affective space dimensions. It is expected that including other semantic relations (e.g., meronymy/holonymy) will also result in the addition of new semantic dimensions to the map. These findings have broad implications for automated quantitative evaluation of the meaning of text and may shed light on the nature of human subjective experience.
机译:关于情感,评价,情感和价值的维度模型的新兴共识在于主要维度的语义,通常被解释为效价,唤醒和主导。弱语义图的概念最近作为抽象空间中表示的分布而引入,这些抽象空间不是从人类的判断力,心理计量学或任何其他有关其语义的先验信息中得出的。相反,它们完全由表示形式之间的二进制语义关系定义,例如同义词和反义词。一个有趣的问题涉及基于反义词的语义图捕获所有“通用”语义维的能力。当前的工作表明,那些狭窄的弱语义图在这个意义上是不完整的,并且可以通过其他语义关系进行扩充。具体来说,包括下位词-上位词关系会产生一个新的语义图,在这里标注为“抽象性”(或本体论普遍性),它无法还原为由反义词对表示的任何维数或传统情感空间的维数。预期包括其他语义关系(例如,代名词/全称)也将导致向地图添加新的语义维度。这些发现对文本含义的自动定量评估具有广泛的意义,并可能阐明人类主观体验的性质。

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