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近似语义空间:精神科言语分析中的词嵌入技术

Approximating the semantic space: word embedding techniques in psychiatric speech analysis.

作者信息

Palominos Claudio, He Rui, Fröhlich Karla, Mülfarth Rieke Roxanne, Seuffert Svenja, Sommer Iris E, Homan Philipp, Kircher Tilo, Stein Frederike, Hinzen Wolfram

机构信息

Department of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.

出版信息

Schizophrenia (Heidelb). 2024 Dec 2;10(1):114. doi: 10.1038/s41537-024-00524-7.

DOI:10.1038/s41537-024-00524-7
PMID:39622800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11612388/
Abstract

Large language models provide high-dimensional representations (embeddings) of word meaning, which allow quantifying changes in the geometry of the semantic space in mental disorders. A pattern of a more condensed ('shrinking') semantic space marked by an increase in mean semantic similarity between words has been recently documented in psychosis across several languages. We aimed to explore this pattern further in picture descriptions provided by a transdiagnostic German sample of patients with schizophrenia spectrum disorders (SSD) (n = 42), major depression (MDD, n = 43), and healthy controls (n = 44). Compared to controls, both clinical groups showed more restricted dynamic navigational patterns as captured by the time series of semantic distances crossed, while also showing differential patterns in the total distances and trajectories navigated. These findings demonstrate alterations centred on the dynamics of the flow of meaning across the semantic space in SSD and MDD, preserving previous indications towards a shrinking semantic space in both cases.

摘要

大语言模型提供了词意的高维表示(嵌入),这使得对精神障碍中语义空间几何结构的变化进行量化成为可能。最近,在多种语言的精神病研究中都记录到了一种语义空间更为紧凑(“收缩”)的模式,其特征是词之间的平均语义相似度增加。我们旨在通过德国一个跨诊断样本的患者提供的图片描述,进一步探索这种模式。该样本包括精神分裂症谱系障碍(SSD,n = 42)、重度抑郁症(MDD,n = 43)患者以及健康对照者(n = 44)。与对照组相比,两个临床组在穿越的语义距离时间序列所捕捉到的动态导航模式上表现出更多限制,同时在总距离和导航轨迹上也表现出不同模式。这些发现表明,SSD和MDD中以语义空间中意义流动的动态为中心存在改变,这与之前在这两种情况下语义空间收缩的迹象一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/67e8850e1183/41537_2024_524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/64c2a258f18c/41537_2024_524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/c416579bfd07/41537_2024_524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/444f02e4be5a/41537_2024_524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/4f675a01872c/41537_2024_524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/67e8850e1183/41537_2024_524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/64c2a258f18c/41537_2024_524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/c416579bfd07/41537_2024_524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/444f02e4be5a/41537_2024_524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/4f675a01872c/41537_2024_524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8a/11612388/67e8850e1183/41537_2024_524_Fig5_HTML.jpg

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本文引用的文献

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A Longitudinal Study of Semantic Networks in Schizophrenia and other Psychotic Disorders Using the Word Association Task.一项使用词语联想任务对精神分裂症及其他精神病性障碍语义网络的纵向研究。
Schizophr Bull Open. 2022 Aug 24;3(1):sgac054. doi: 10.1093/schizbullopen/sgac054. eCollection 2022 Jan.
2
Shared functional specialization in transformer-based language models and the human brain.基于变压器的语言模型和人类大脑的功能专业化共享。
Nat Commun. 2024 Jun 29;15(1):5523. doi: 10.1038/s41467-024-49173-5.
3
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns.
脑嵌入和自然语言中人工上下文嵌入的对齐指向共同的几何模式。
Nat Commun. 2024 Mar 30;15(1):2768. doi: 10.1038/s41467-024-46631-y.
4
Automated linguistic analysis in speech samples of Turkish-speaking patients with schizophrenia-spectrum disorders.自动化语言分析在土耳其语精神分裂症谱系障碍患者的言语样本中的应用。
Schizophr Res. 2024 May;267:65-71. doi: 10.1016/j.schres.2024.03.014. Epub 2024 Mar 22.
5
Natural language processing for defining linguistic features in schizophrenia: A sample from Turkish speakers.自然语言处理在精神分裂症语言特征定义中的应用:来自土耳其语使用者的样本。
Schizophr Res. 2024 Apr;266:183-189. doi: 10.1016/j.schres.2024.02.026. Epub 2024 Feb 27.
6
The 'L-factor': Language as a transdiagnostic dimension in psychopathology.“L 因素”:语言作为精神病理学中的一种跨诊断维度。
Prog Neuropsychopharmacol Biol Psychiatry. 2024 Apr 20;131:110952. doi: 10.1016/j.pnpbp.2024.110952. Epub 2024 Jan 26.
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Navigating the semantic space: Unraveling the structure of meaning in psychosis using different computational language models.在语义空间中导航:使用不同的计算语言模型揭示精神病学意义的结构。
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9
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