The study of semantic shift, that is, of how words change meaning as a consequence of
social practices, events and political circumstances, is relevant in Natural Language …

When the COVID-19 pandemic hit, much of life moved online. Platforms of all types reported
surges of activity, and people remarked on the various important functions that online …

Morphological and syntactic changes in word usage (as captured, eg, by grammatical
profiles) have been shown to be good predictors of a word's meaning change. In this work …

Thus far, the research community has focused on a simplified computational modeling of
semantic change between two time periods. This simplified view has served as a …

The study of semantic shifts, that is, of how words change meaning as a consequence of
social practices, events and political circumstances, is relevant in Natural Language …

We test whether the development of political dogwhistles can be observed using language
change measures; specifically, does the development of a “hidden” message in a …

Social media allows researchers to track societal and cultural changes over time based on
language analysis tools. Many of these tools rely on statistical algorithms which need to be …

This position paper discusses the profound impact of Large Language Models (LLMs) on
semantic change, emphasizing the need for comprehensive monitoring and visualization …

In this paper we examine different meaning representations that are commonly used in
different natural language applications today and discuss their limits, both in terms of the …

We show that meaning shifts in political dogwhistle expressions (DWEs) are explained by
the expressions changing with regard to their “hidden”(in-group) and “public”(out-group) …