一个几何语义模型和Parts-of-Sense推理注释框架
Kiran Pala1, S Shalu2, Vasudevan Nedumpozhimana3
1Department of Social Sciences, University of Eastern Finland, Kuopio, Finland.
Frontiers in artificial intelligence
|December 1, 2025
概括
这项研究提出了一个新的几何模型,用于详细的含义表示. 部分感知推断 (POSI) 框架提供了跨多种语言的可解释语义分析.
科学领域:
- 计算语言学 计算语言学
- 认知科学 认知科学
- 语义学 是一个语义学.
背景情况:
- 传统的语义模型往往忽视了微妙的含义细微差别.
- 跨语言分析需要强大的工具来进行细粒度的语义表示.
研究的目的:
- 介绍多维含义表示的几何语义模型.
- 开发一个新的注释框架,用于详细的跨语言语义分析.
- 评估POSI框架在不同语言中的适用性.
主要方法:
- 开发了一种用于细粒度表示的几何语义模型.
- 创建了一个带有135个可解释代码的POSI注释框架.
- 在四种不同类型的语言中注释语义表达式.
主要成果:
- POSI框架成功地注释了微妙的语义属性.
- 证明模型的跨语言和跨结构适用性.
- 实现可解释和认知可信的语义表示.
结论:
- 提出的几何语义模型为意义推断提供了一个强大的工具.
- POSI框架促进了对语言处理进行更深入的研究.
- 这种方法增强了对跨语言语义表示的理解.
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