cs.AI updates on arXiv.org 10月13日
个人叙事风格分析框架
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本文提出一种将个人叙事风格形式化为作者在传达主观体验时语言选择模式的方法。该方法结合功能语言学、计算机科学和心理学,通过语言模型自动提取语言特征,并应用于战争退伍军人的梦境叙事,揭示语言选择与心理状态之间的关系。

arXiv:2510.08649v1 Announce Type: cross Abstract: Personal narratives are stories authors construct to make meaning of their experiences. Style, the distinctive way authors use language to express themselves, is fundamental to how these narratives convey subjective experiences. Yet there is a lack of a formal framework for systematically analyzing these stylistic choices. We present a novel approach that formalizes style in personal narratives as patterns in the linguistic choices authors make when communicating subjective experiences. Our framework integrates three domains: functional linguistics establishes language as a system of meaningful choices, computer science provides methods for automatically extracting and analyzing sequential patterns, and these patterns are linked to psychological observations. Using language models, we automatically extract linguistic features such as processes, participants, and circumstances. We apply our framework to hundreds of dream narratives, including a case study on a war veteran with post-traumatic stress disorder. Analysis of his narratives uncovers distinctive patterns, particularly how verbal processes dominate over mental ones, illustrating the relationship between linguistic choices and psychological states.

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个人叙事 风格分析 语言模式 心理状态 计算机科学
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