arXiv:2410.14978cs.CL2024-10被引 3

用对话分析法量化电视剧中关系描绘的颠覆程度,揭示酷儿关系的呈现方式。

Subversive Characters and Stereotyping Readers: Characterizing Queer Relationalities with Dialogue-Based Relation Extraction

  • 基于对话提取与认知修辞学,构建角色关系预测模型。
  • 发现《生活大爆炸》等剧中酷儿关系常偏离常规模式,体现亚文化反抗。
  • 适合研究媒体表征、数字人文与批判性计算的学者参考。

电视常被视为亚文化认同与颠覆性幻想的场所,尤其在酷儿文化中。如何衡量这种颠覆性?即一对角色(如同事)之间的社会关系描述,与其在电视中的典型表现相比偏离程度有多大?为此,本文提出「刻板关系抽取」任务。结合认知修辞学、语言人类学与对话关系抽取,本文尝试建模角色在对话互动中被刻板化的认知过程。给定一对角色,目标是预测其通过话语展现的社会关系。颠覆性则由模型预测分布与真实标签之间的差异来刻画。为展示该任务的价值并提供方法论干预,本文包含四个案例研究,分析《生活大爆炸》《欢乐一家亲》和《吉尔莫女孩》中酷儿关系的呈现,探索计算方法下的怀疑式与修复式阅读模式。

原文摘要 · Abstract (English)

Television is often seen as a site for subcultural identification and subversive fantasy, including in queer cultures. How might we measure subversion, or the degree to which the depiction of social relationship between a dyad (e.g. two characters who are colleagues) deviates from its typical representation on TV? To explore this question, we introduce the task of stereotypic relationship extraction. Built on cognitive stylistics, linguistic anthropology, and dialogue relation extraction, in this paper, we attempt to model the cognitive process of stereotyping TV characters in dialogic interactions. Given a dyad, we want to predict: what social relationship do the speakers exhibit through their words? Subversion is then characterized by the discrepancy between the distribution of the model's predictions and the ground truth labels. To demonstrate the usefulness of this task and gesture at a methodological intervention, we enclose four case studies to characterize the representation of queer relationalities in the Big Bang Theory, Frasier, and Gilmore Girls, as we explore the suspicious and reparative modes of reading with our computational methods.

关系抽取酷儿研究媒体分析对话建模

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