论文标题
KG-BIAS研讨会2020年的会议记录在AKBC 2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
论文作者
论文摘要
KG偏见2020研讨会涉及偏见以及它们在知识图（kgs）中如何浮出水面，用于创建kgs的源数据中的偏见，用于kgs的kgs的偏见，测量或修复kg中的偏见的方法，以及在kgs中自动构建的kgs中如何和诸如哪些语言在kgs中的自动构建方式和个人kgs的个人kgs sandy kgs sanders of myspersys bias can sents hents bias sant benent bias sents bist bist bist bist bists bias。该研讨会的目的是发现如何将各种类型的偏见引入kgs，调查如何衡量并提出对它们进行补救的方法。
The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediating bias in KGs, but also identifying other biases such as how and which languages are represented in automatically constructed KGs or how personal KGs might incur inherent biases. The goal of this workshop is to uncover how various types of biases are introduced into KGs, investigate how to measure, and propose methods to remediate them.
