Making Use of Similarity in Referential Semantics
Making Use of Similarity in Referential Semantics
复制标题
利用指称语义中的相似性
DOI：
10.1007/978-3-319-25591-0_31
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
C. Umbach
中科院分区：
文献类型：
--
作者：
H. Gust;C. Umbach
众所周知，相似性是人类认知的核心概念，例如，在分类和学习方面。因此，自然语言中的相似性表达是特别感兴趣的：如何在不放弃指称语义的情况下解释它们的含义，包括认知科学和人工智能中关于相似性的结果？在本文中，我们将制定一个框架，连接指称语义的概念结构，通过推广的概念，度语义已知的测量功能从一维到多维的情况下映射个人到多维属性空间中的点。相似性然后被拼写为相对于一组给定的属性的不可重复性。
Similarity is well-known to be a core concept of human cognition, e.g., in categorization and learning. Therefore, expressions of similarity in natural language are of special interest: How to account for their meaning including the results on similarity in Cognitive Science and Artificial Intelligence without abandoning referential semantics? In this paper we will lay out a framework connecting referential semantics to conceptual structures by generalizing the notion of measure functions known in degree semantics from the one-dimensional to the many-dimensional case mapping individuals to points in multi-dimensional attribute spaces. Similarity is then spelled out as indistinguishability with respect to a given set of attributes.