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Social Chemistry 101: Learning to Reason about Social and Moral Norms

机译：社会化学101：学会理解社会和道德规范

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Social norms-the unspoken commonsense rules about acceptable social behavior-are crucial in understanding the underlying causes and intents of people's actions in narratives. For example, underlying an action such as "wanting to call cops on my neighbor" are social norms that inform our conduct, such as "It is expected that you report crimes." We present SOCIAL CHEMISTRY, a new conceptual formalism to study people's everyday social norms and moral judgments over a rich spectrum of real life situations described in natural language. We introduce SOCIAL-CHEM-101, a large-scale corpus that catalogs 292k rules-of-thumb such as "It is rude to run a blender at Sam" as the basic conceptual units. Each rule-of-thumb is further broken down with 12 different dimensions of people's judgments, including social judgments of good and bad, moral foundations, expected cultural pressure, and assumed legality, which together amount to over 4.5 million annotations of categorical labels and free-text descriptions. Comprehensive empirical results based on state-of-the-art neural models demonstrate that computational modeling of social norms is a promising research direction. Our model framework, NEURAL NORM TRANSFORMER, learns and generalizes SOCIAL-CHEM-101 to successfully reason about previously unseen situations, generating relevant (and potentially novel) attribute-aware social rules-of-thumb.
机译：社会规范 - 关于可接受的社会行为的令人言不乘的致辞规则 - 对理解叙述中人民行为的根本原因和意图是至关重要的。例如，诸如“想要呼叫我邻居的警察”的行为的基础是社会规范，告知我们的行为，例如“预计您报告犯罪”。我们呈现社会化学，一个新的概念形式主义，以研究人们日常社会规范和道德判断在自然语言中描述的丰富的现实生活中。我们介绍了Social-Chem-101，这是一个大型语料库，其目录为292k拇指规则，例如“在Sam在Sam”的“粗鲁”作为基本概念单位。每条经验法则进一步分解了12个不同方面的人民判决，包括良好和坏，道德基础，预期的文化压力，以及承担合法性的社会判断，其中金额超过450万元的分类标签注释和自由-text描述。基于最先进的神经模型的综合经验结果表明，社会规范的计算建模是一个有前途的研究方向。我们的模型框架，神经规范变压器，学习和概括社会化学101，成功地理解以前看不见的情况，产生相关（和潜在的新颖）属性感知的社会规则 - 拇指。

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