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Symbolic connectionism in natural language disambiguation
IEEE Transactions on Neural Networks 9:739-755 (1998)
Abstract
Uses connectionism (neural networks) to extract the "gist" of a story in order to represent a context going forward for the disambiguation of incoming words as a text is processed.Author's Profile
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Citations of this work
References found in this work
On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Steven Pinker & Alan Prince - 1988 - Cognition 28 (1-2):73-193.
Interpretation as abduction.Jerry R. Hobbs, Mark E. Stickel, Douglas E. Appelt & Paul Martin - 1993 - Artificial Intelligence 63 (1-2):69-142.
Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation.David L. Waltz & Jordan B. Pollack - 1985 - Cognitive Science 9 (1):51-74.
How a neural net grows symbols.James Franklin - 1996 - In Peter Bartlett (ed.), Proceedings of the Seventh Australian Conference on Neural Networks, Canberra. ACNN '96. pp. 91-96.
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