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

To make these new techniques accessible to researchers outside of Computational Linguistics, we have developed the DURel tool …

There has been extensive work on human word sense annotation, i.e., manually labeling word uses in natural texts according to their …

We present a dataset of word usage graphs (WUGs), where the existing WUGs for multiple languages are enriched with cluster labels …

There has been a surge of interest in computational modeling of semantic change. The foci of previous works are on detecting and …

This paper explores the intersection of lexical complexity prediction and lexical semantic change detection. We investigate the …

This paper investigates edge induction as a method for augmenting Word Usage Graphs, in which word usages (nodes) are connected through …

There is abundant evidence of the fact that the way words change their meaning can be classified in different types of change, …

Modern language models are capable of contextualizing words based on their surrounding context. However, this capability is often …

While minimising false negatives in hate speech classification remains an important goal in order to reduce discrimination and increase …