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David l. waltz

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  • The language of scene descriptions 2 must allow a hearer to build structures of schemas similar (to some level of detail) to those the speaker has built via perceptual processes. The understanding process in general requires a hearer to create and run "event ~ " to check the consistency and plausibility of a "picture" constructed from a speaker's description.

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  • There have been three main reasons for this increase in interest: 1. Scientific adequacy of the models 2. The availability of fine-grained parallel hardware to run the models 3. The demonstration of powerful connectionist learning models. The scientific adequacy of models based on a small number of coarse-grained primitives (e.g. conceptual dependency), popular in AI during the 70's, has been called into question and substantially replaced by a current emphasis in much of computational linguistics on lexicalist models (i.e., ones which use words for representing concepts or meanings).

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