Multiword expressions in Natural Language Processing
Current trends and challenges
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Beschreibung
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.
The contributions collected here investigate the morphology, syntax, and semantics of deadjectival verbs across the older Indo-European languages. By situating these formations within the broader typology of adjective derivation, property concept encoding, and primary vs. secondary verb formation, the volume forges new connections between typological generalizations, theoretical models, and historical-comparative evidence. In doing so, it not only illuminates the dynamics of verbal derivation in Indo-European but also advances our understanding of how the pathways from property concepts to verbal predicates are structured cross-linguistically.
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Available via
Books on Demand GmbH,
In de Tarpen 42,
22848 Norderstedt
Tel.: +49 40 - 53 43 35-0
Fax: +49 40 - 53 43 35-84
E-Mail buchhandel@bod.de
Web: www.bod.de
Autor*in
Verginica Barbu Mititelu
Verginica Barbu Mititelu is a senior researcher in the Natural Language Processing group of the Romanian Academy Research Institute for Artificial Intelligence. She performed her Master studies at and received her PhD in Philology in 2010 from the University of Bucharest. She has constantly been preoccupied with and involved in the development of language resources, especially for Romanian, applying up-to-date annotation schemas and adjusting them to the characteristics of the language under study. She has also been concerned with standardizing the resources developed, especially using Linked Data principles of representation, and with the registration of their metadata in international data repositories.
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