语言的几何学:理解生物伦理学LLM
1Departamento de Filosofía I, Edificio de la Facultad de Psicología, Universidad de Granada, Campus de la Cartuja, 18011, Granada, Spain. amastobiza@ugr.es.
Journal of bioethical inquiry
|September 11, 2025
概括
大型语言模型 (LLM) 通过创建语义距离矩阵来分析生物伦理学中的语言模两可. 这种计算方法增强了对复杂道德困境的理解,并提高了沟通的清晰度.
科学领域:
- 计算语言学 计算语言学
- 生物伦理学生物伦理学
- 自然语言处理自然语言处理.
背景情况:
- 生物伦理场景往往涉及复杂的语言,可能会产生模两可.
- 了解语言细微差别对于有效的道德决策和言论至关重要.
研究的目的:
- 探索大语言模型 (LLM) 在分析语言集词化和生物伦理中的模两可的应用.
- 开发一种定量方法来评估生物伦理文本中的语言特异性和模糊性.
主要方法:
- 利用来自LLM的词嵌入来构建语义距离矩阵.
- 量化和可视化语言模两可,通过比较具有高和低集词化特征的片段.
- 通过距离矩阵在几何上表示语义关系.
主要成果:
- 语义距离矩阵有效地揭示了生物伦理背景中的细微术语关系.
- 基于LLM的方法提供了对语言模两可和特异性的定量衡量.
- 证明了LLM能够促进几何语言表示进行分析的能力.
结论:
- 法律学提供了一种强大的计算工具,用于分析生物伦理语言并减少模两可.
- 这种方法增强了对复杂的道德困境的理解,并提高了道德沟通的清晰度.
- 在生物伦理学中,LLM作为有价值的分析工具用于话语分析,与表演语音行为不同.
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