Distances derived from word embeddings can measure a range of gradational relations—similarity, hierarchy, entailment, and stereotype—and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation induction, and demonstrate how such techniques can complement dictionary methods as unsupervised, deductive methods.

中文翻译：

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文本分析中的关系归纳工具包

从词嵌入导出的距离可以测量一系列层次关系——相似性、层次性、蕴涵和刻板印象——并且可以在文档和作者级别使用，克服加权字典方法的一些限制。我们全面介绍了使用词嵌入进行关系归纳，并演示了此类技术如何补充字典方法作为无监督的演绎方法。