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Large-scale sense-annotated corpora are important for a range of tasks but are hard to come by. Dictionaries that record and describe …

Modeling lexical semantics is a challenging task, often suffering from interpretability pitfalls. In this paper, we delve into the …

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 …

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

The recent introduction of large-scale datasets for the WiC (Word in Context) task enables the creation of more reliable and meaningful …

In this work we investigate the hypothesis that enriching contextualized models using fine-tuning tasks can improve their capacity to …

We provide a novel dataset – DiaWUG – with judgements on diatopic lexical semantic variation for six Spanish variants in Europe and …