Polysemy is the type of lexical ambiguity where a word has multiple distinct but related
interpretations. In the past decade, it has been the subject of a great many studies across …

Lexical Semantic Change (LSC) is the task of identifying, interpreting, and assessing the
possible change over time in the meanings of a target word. Traditionally, LSC has been …

Lexical Semantic Change detection, ie, the task of identifying words that change meaning
over time, is a very active research area, with applications in NLP, lexicography, and …

This paper presents the first unsupervised approach to lexical semantic change that makes
use of contextualised word representations. We propose a novel method that exploits the …

The increasing capacities of large language models (LLMs) have been shown to present an
unprecedented opportunity to scale up data analytics in the humanities and social sciences …

We present the first shared task on semantic change discovery and detection in Spanish and
create the first dataset of Spanish words manually annotated for semantic change using the …

The problem of comparing two bodies of text and searching for words that differ in their
usage between them arises often in digital humanities and computational social science …

Several cluster-based methods for semantic change detection with contextual embeddings
emerged recently. They allow a fine-grained analysis of word use change by aggregating …

We perform an interdisciplinary large-scale evaluation for detecting lexical semantic
divergences in a diachronic and in a synchronic task: semantic sense changes across time …

Abstract Word Usage Graphs (WUGs) represent human semantic proximity judgments for
pairs of word uses in a weighted graph, which can be clustered to infer word sense clusters …