Abstract
For us, the idea of an integration of artificial vision with natural-language processing grew out of reflections on the inadequacy of model-theoretic semantics as a theory of meaning. Belief-contexts and propositional attitudes in general are commonly regarded as the main stumbling block for theories in the model-theoretic tradition: no such theory seems capable of yielding the right truth-conditions for sentences like ‘X believes that p’, ‘X wonders whether p’ etc. However, another source of trouble has been highlighted since the early ‘80s (see Partee 1981), having to do with the lexical component, or rather the lack of a full-fledged lexical component in model-theoretic semantic theories.
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© 1996 Kluwer Academic Publishers
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Marconi, D. (1996). Work on the Integration of Language and Vision at the University of Torino. In: Mc Kevitt, P. (eds) Integration of Natural Language and Vision Processing. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1639-5_9
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DOI: https://doi.org/10.1007/978-94-009-1639-5_9
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