Diachronic word embeddings offer remarkable insights into the evolution of language and provide a tool for quantifying socio-cultural change. However, while this method identifies words that have semantically shifted, it studies them in isolation; it does not facilitate the discovery of documents that lead or lag with respect to specific semantic innovations. In this paper, we propose a method to quantify the degree of semantic progressiveness in each usage. These usages can be aggregated to obtain scores for each document. We analyze two large collections of documents, representing legal opinions and scientific articles. Documents that are predicted to be semantically progressive receive a larger number of citations, indicating that they are especially influential. Our work thus provides a new technique for identifying lexical semantic leaders and demonstrates a new link between early adoption and influence in a citation network.

中文翻译：

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跟随领先：语义变化前沿的文档获得更多引用

历时词嵌入提供了对语言演变的非凡见解，并提供了量化社会文化变化的工具。然而，虽然这种方法可以识别语义发生变化的单词，但它是孤立地研究它们的。它不利于发现在特定语义创新方面领先或落后的文档。在本文中，我们提出了一种量化每种用法中语义渐进程度的方法。可以汇总这些用法以获得每个文档的分数。我们分析了代表法律意见和科学文章的两大文件集合。被预测为语义渐进的文档获得了大量引用，表明它们特别有影响力。