Learning visually grounded words and syntax for a scene description task

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Learning visually grounded words and syntax for a scene description task

A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a ‘show-and-tell" procedure in which visual scenes are paired with natural language descriptions. Learning algorithms acquire probabilistic structures which encode the visual semantics of phrase structure, word classes, and individual words. Using ...

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Learning the meaning of a novel noun from a few labeled objects is one of the simplest aspects of learning a language, but approximating human performance on this task is still a significant challenge for current machine learning systems. Current methods typically fail to find the appropriate level of generalization in a concept hierarchy for a given visual stimulus. Recent work in cognitive sc...

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ژورنال

عنوان ژورنال: Computer Speech & Language

سال: 2002

ISSN: 0885-2308

DOI: 10.1016/s0885-2308(02)00024-4