Siskind, J. M., "Acquiring Core Meanings Of Words, Represented As JackendoffStyle Conceptual Structures, From Correlated Streams Of Linguistic And Non-Linguistic Input", Proceedings Of The 28th Annual Meeting Of The Association For Computational Linguistics, University of Pittsburgh, Pennsylvania, 1990

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This paper is cited in the following contexts:
An Approach To Solving The Symbol Grounding Problem: Neural.. - Sales, Evans (1995)   (1 citation)  (Correct)

....the terms with sensory stimuli. A similar approach using machines seems to be an appropriate solution to the part of the symbol grounding problem that deals with concrete concepts. Several workers in Artificial Neural Networks (ANNs) 6,7,8] in more traditional Artificial Intelligence [9,10] and in hybrid systems using both technologies [11] have approached this problem in principle, although not with large, live video visual inputs in an interactive way, as this paper does. Furthermore, this work represents a step forward in that the system used requires very little data ....

Siskind, J. M., "Acquiring Core Meanings Of Words, Represented As JackendoffStyle Conceptual Structures, From Correlated Streams Of Linguistic And Non-Linguistic Input", Proceedings Of The 28th Annual Meeting Of The Association For Computational Linguistics, University of Pittsburgh, Pennsylvania, 1990

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