你的配偶需要专业帮助：通过建模社会关系判断消息的语境适当性
Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships
AI总结：
本文提出通过显式建模社会关系来判断消息在特定语境中的适当性，构建新数据集并验证大语言模型可有效融入关系信息，同时揭示关系作为隐性规范的作用及其对其他社会因素的预测能力。
摘要：
理解人际沟通在一定程度上需要理解消息所述的社会语境和规范。然而，当前识别此类沟通中冒犯性内容的方法大多独立于语境运作，只有少数方法将社区规范或先前对话作为语境加以考虑。在此，我们提出一种新方法，通过显式建模个体之间的社会关系来识别不适当的沟通。我们引入了一个新的基于语境情境的适当性判断数据集，并表明大语言模型可以容易地融入关系信息，以准确识别给定语境中的适当性。利用来自在线对话和电影对话的数据，我们深入揭示了关系本身如何作为隐性规范发挥作用，并量化了不同对话场景中对语境敏感性的需求程度。此外，我们还证明，语境适当性判断可以预测语言中表达的其他社会因素，如居高临下和礼貌。
英文摘要：
Understanding interpersonal communication requires, in part, understanding the social context and norms in which a message is said. However, current methods for identifying offensive content in such communication largely operate independent of context, with only a few approaches considering community norms or prior conversation as context. Here, we introduce a new approach to identifying inappropriate communication by explicitly modeling the social relationship between the individuals. We introduce a new dataset of contextually-situated judgments of appropriateness and show that large language models can readily incorporate relationship information to accurately identify appropriateness in a given context. Using data from online conversations and movie dialogues, we provide insight into how the relationships themselves function as implicit norms and quantify the degree to which context-sensitivity is needed in different conversation settings. Further, we also demonstrate that contextual-appropriateness judgments are predictive of other social factors expressed in language such as condescension and politeness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
