This paper presents a scheme for annotating coreference across news articles,
extending beyond traditional identity relations by also considering
near-identity and bridging relations. It includes a precise description of how
to set up Inception, a respective annotation tool, how to annotate entities in
news articles, connect them with diverse coreferential relations, and link them
across documents to Wikidata's global knowledge graph. This multi-layered
annotation approach is discussed in the context of the problem of media bias.
Our main contribution lies in providing a methodology for creating a diverse
cross-document coreference corpus which can be applied to the analysis of media
bias by word-choice and labelling.

该研究论文提出了一种通过考虑近似一致性和桥接关系来扩展传统身份关系范围的新闻文章共指注释方案，并详细描述了如何使用相应的注释工具 Inception 来设置，如何注释新闻文章中的实体，如何将它们与不同的共指关系联系起来，并链接到 Wikidata 的全球知识图谱。本文讨论了这种多层次的注释方法在媒体偏见问题中的应用，并提供了一种创建多样性跨文档共指语料库的方法，该方法可以用于通过词选择和标注来分析媒体偏见。