词汇意义在精神病中是低维的
Claudio Palominos1, Frederike Stein2,3, Tilo Kircher2,3
1Department of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain. claudio.palominos@upf.edu.
患有精神病的人在演讲中表现出更可缩小的语义空间,表明单词含义的压缩组织. 这一发现为精神障碍中语义关联的几何学提供了新的见解.
科学领域:
- 计算语言学计算语言学
- 心理语言学 心理语言学
- 神经科学是一个神经科学.
背景情况:
- 语言模型 (LMs),包括大型语言模型 (LLMs),分析语音中的语义组织.
- 患有精神病的个体表现出高度的语义相似性,暗示了压缩的语义空间.
- 这种压缩空间可能表明语义关联的底层几何性质发生了变化.
研究的目的:
- 调查语音衍生的语义向量空间的维度是否在精神病中更容易被减少.
- 探索与精神障碍相关的语言中语义组织的几何基础.
主要方法:
- 利用从LM中语音嵌入的主要组件分析 (PCA) 来评估语义空间可缩小性.
- 计算的指标,如90%的差异和差异由前两个组成部分解释的组件.
- 估计的内在维度 (ID) 进行进一步分析.
主要成果:
- 在三种语言的数据集中证实了精神病中语义空间的显著更高的可缩小性.
- 证明精神病中的语义空间需要更少的维度来捕捉相同的差异.
- 结果在不同数据集和语言中一致.
结论:
- 这些发现支持了精神病中语义空间可缩小性更高的假设.
- 暗示了语音中语义关联的潜在内在几何,在精神病中发生了改变.
- 提供了一种新的几何方法来理解精神障碍中的语音模式.
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