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State-of-the-art models of lexical semantic change detection suffer from noise stemming from vector space alignment. We have …

This article is a survey of recent computational techniques to tackle lexical semantic change, in particular we focus on diachronic …

Human language constantly evolves due to the changing world and the need for easier forms of expression and communication. In this …

We present a method for detecting word sense changes by utilizing automatically induced word senses. Our method works on the level of …

With advancements in technology and culture, our language changes. We invent new words, add or change meanings of existing words and …

High impact events, political changes and new technologies are reflected in our language and lead to constant evolution of terms, …

The correspondence between the terminology used for querying and the one used in content objects to be retrieved, is a crucial …