本体差异化作为语义准确性的衡量标准
P García-Cuadrillero1, F Revuelta2, J A Capitán1
1Universidad Politécnica de Madrid, Complex Systems Group, Department of Applied Mathematics, Avenida Juan de Herrera 6, 28040 Madrid, Spain.
Physical review. E
|February 20, 2026
概括
本体差异化 (OD) 提供了一种使用词典定义测量语义距离的新方法. 这种基于定义的度量是独立于其他方法的,有助于在词汇网络中创建更连贯的导航路径.
科学领域:
- 网络科学 网络科学
- 计算语言学计算语言学
- 词汇语义上的语义词汇学.
背景情况:
- 了解复杂网络中的语义关系对于网络科学和语言建模至关重要.
- 现有的网络嵌入方法捕获了上下文相似性,但在基于明确的定义结构的语义距离量化方面遇到了困难.
研究的目的:
- 介绍本体差异化 (OD) 作为测量语义分歧的正式方法.
- 与其他语义相似度指标相比,评估OD的有效性和独立性.
- 评估OD在分析词汇网络中的导航路径方面的实用性.
主要方法:
- 通过在递归定义扩展过程中分析重叠,开发了本体差异化 (OD).
- 从简单英语维基词典中提取的应用OD到网络.
- 将OD分数与来自200万个单词对的随机步行网络探索得出的同位素相似性进行了比较.
主要成果:
- 发现OD得分和等号相似性之间的相关性较弱,将OD确定为一个独立的,基于定义的语义度量.
- 在删除含义含量低的术语后,观察到OD和共弦相似性之间的正交度增加.
- 证明语义导航 (SN) 路径的累积OD得分明显低于最短的路径.
结论:
- 本体差异化为语义分歧提供了一个新的,基于定义的度量.
- OD在很大程度上独立于现有的基于嵌入的相似度.
- OD分数验证了语义导航在词汇网络中比最短的路径产生更多的定义连贯路径.
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