Abstract
Explicit semantic knowledge has often been considered a necessary ingredient to enable the development of intelligent systems. However, current stateof- the-art tools for the automatic extraction of such knowledge often require expert understanding of the complex techniques used in lexical and sentence-level semantics and their linguistic theories. To overcome this limitation and lower the barrier to entry, we present the Universal Semantic Annotator (USeA) ELG pilot project, which offers a transparent way to automatically provide high-quality semantic annotations in 100 languages through state-of-the-art models, making it easy to exploit semantic knowledge in real-world applications.
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Navigli, R., Orlando, R., Campagnano, C., Conia, S. (2023). Universal Semantic Annotator. In: Rehm, G. (eds) European Language Grid. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-17258-8_28
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DOI: https://doi.org/10.1007/978-3-031-17258-8_28
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Publisher Name: Springer, Cham
Print ISBN: 978-3-031-17257-1
Online ISBN: 978-3-031-17258-8
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