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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 …

This study addresses the critical issue of Natural Language Processing in low-resource languages such as Hindi, which, despite having …

Languages change constantly over time, influenced by social, technological, cultural and political factors that affect how people …

Text analysis has undergone substantial evolution since its inception, moving from manual qualitative assessments to sophisticated …

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

Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently …

This student paper explores the potential of augmenting computational models of semantic change with sentiment information. It tests …