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Titlebook: Integration of Natural Language and Vision Processing; Theory and Grounding Paul Mc Kevitt (EPSRC Advanced Fellow in Informati Book 1996 Kl

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,L0 — The First Five Years of an Automated Language Acquisition Project,t of any natural language from sentence-picture pairs. We have not succeeded in building such a system, but we have made considerable progress on component subtasks and this has led in a number of productive and surprising directions.
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Sandy Ideas and Coloured Days: Some Computational Implications of Embodiment,age are derived from those of the sensory-motor domain, and that the pervasiveness of metaphor is one manifestation of language’s computational antecedants. A variety of cognitive and computational implications are drawn from these hypotheses.
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Work on the Integration of Language and Vision at the University of Torino,ders whether .’ 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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Processing (VP), there has heretofore been little progresson integrating these two subareas of Artificial Intelligence (AI).This book contains a set of edited papers addressing theoreticalissues and the grounding of representations in NLP and VP fromphilosophical and psychological points of view. Th
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A Logical Approach to Representing and Reasoning About Space,For the last five years, spatial reasoning research by the Qualitative Spatial Reasoning Group, University of Leeds, has centred on the development and application of such a language — the RCC spatial logic. Below, we briefly describe the work of the group in this area.
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Memory and Expectations in Learning, Language, and Visual Understanding,r sentence has resulted in an emphasis on low level structural aspects of these media. In this paper we argue that image and language understanding should be approached with the intent of facilitating the performance of a task. Under this view research in image and language understanding must confro
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