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A Computational Method for Extracting, Representing, and Predicting Social Closeness

机译:提取,代表和预测社会近距离提取的计算方法

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Identifying the social closeness between two individuals is a key skill in any situation where interpersonal relations play a role. Consequently, such capacity is needed to enable AI systems to understand human interactions and interact naturally in social situations. However, current research has relied on simple proxies for social closeness, and richer models are difficult to achieve. This paper presents an approach to predicting social closeness based on linguistic interactions and demonstrates an ability to predict social closeness with high accuracy.
机译:识别两个人之间的社交亲密性是人际关系关系发挥作用的任何情况的关键技能。 因此,需要这种能力来使AI系统能够理解人类互动并自然地在社交情况下进行互动。 然而,目前的研究依赖于社交近距离的简单代理,并且难以实现更丰富的模型。 本文介绍了一种基于语言互动的社会亲密性的方法,并表明了以高精度预测社会亲密性的能力。

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