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CALCULUS aims to enhance natural language understanding by machines through innovative paradigms that combine traditional artificial intelligence concepts with modern machine learning techniques. The project focuses on creating anticipatory representations of events based on language and visual data.
Natural language understanding (NLU) by the machine is of large scientific, economic and social value.
Humans perform the NLU task in an efficient way by relying on their capability to imagine or anticipate situations.
They engage commonsense and world knowledge that is often acquired through perceptual experiences to make explicit what is left implicit in language.
Inspired by these characteristics CALCULUS will design, implement and evaluate innovative paradigms supporting NLU, where it will c…
KATHOLIEKE UNIVERSITEIT LEUVEN
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