Survey details methods for characterizing semantic change in language

This survey paper examines methods for characterizing semantic change in language, a phenomenon that impacts computational linguistics tasks like translation and information retrieval. It formally defines three categories of semantic change: alterations in generality, shifts in sentiment (pejorative or positive), and changes in contextual usage (e.g., metaphoric or metonymic). The paper aims to provide an overview of existing approaches and identify future research directions in this area. AI

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IMPACT Provides a structured overview of semantic change characterization, aiding NLP model development and evaluation.

RANK_REASON This is a survey paper published on arXiv detailing methods for characterizing semantic change in language.

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• arXiv
• computational linguistics
• translation
• information retrieval
• question answering

• paper
• other