The present volume addresses the way in which multiword expression resources are used in real-life downstream Natural Language Processing applications, how they interact with neural architectures and generative pre-trained language models and, more broadly, how linguistic theory and computational modeling can inform each other. It critically examines the properties of multiword expression resources and their integration into - or exclusion from - contemporary Natural Language Processing systems dominated by machine learning and Large Language Models.
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