论文标题
确定分布观点的差异
Identifying Distributional Perspective Differences from Colingual Groups
论文作者
论文摘要
不同文化或语言之间存在观点差异。不同群体之间缺乏对他们对特定价值观或事件的看法的相互了解可能会导致无知的决定或有偏见的意见。自动了解小组观点可以为许多自然语言处理技术的下游应用提供基本背景。在本文中，我们研究了殖民群体，并使用语言语料库作为识别其分布观点的代理。我们提出了一种新颖的计算方法来学习共享的理解，并通过为英语，中文和日语语言建立文化意识的模型来基准我们的方法。在一系列不同的主题中，包括婚姻，腐败，民主，我们的模式与人类关于群体内价值观和组间差异的判断具有很高的相关性。
Perspective differences exist among different cultures or languages. A lack of mutual understanding among different groups about their perspectives on specific values or events may lead to uninformed decisions or biased opinions. Automatically understanding the group perspectives can provide essential background for many downstream applications of natural language processing techniques. In this paper, we study colingual groups and use language corpora as a proxy to identify their distributional perspectives. We present a novel computational approach to learn shared understandings, and benchmark our method by building culturally-aware models for the English, Chinese, and Japanese languages. On a held out set of diverse topics including marriage, corruption, democracy, our model achieves high correlation with human judgements regarding intra-group values and inter-group differences.
