Search results for 'S. W. K. Chan' (try it on Scholar)

  1. James Franklin & S. W. K. Chan (2003). Dynamic Context Generation for Natural Language Understanding: A Multifaceted Knowledge Approach. IEEE Transactions on Systems, Man and Cybernetics Part A 33:23-41.score: 502.5
    We describe a comprehensive framework for text un- derstanding, based on the representation of context. It is designed..
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  2. James Franklin & S. W. K. Chan (1998). Symbolic Connectionism in Natural Language Disambiguation. IEEE Transactions on Neural Networks 9:739-755.score: 502.5
    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.
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  3. Samuel W. K. Chan & James Franklin (1998). Symbolic Connectionism in Natural Language Disambiguation. IEEE Transactions on Neural Networks 9:739-755.score: 315.0
    ��Natural language understanding involves the simul- taneous consideration of a large number of different sources of information. Traditional methods employed in language analysis have focused on developing powerful formalisms to represent syntactic or semantic structures along with rules for transforming language into these formalisms. However, they make use of only small subsets of knowledge. This article will describe how to use the whole range of information through a neurosymbolic architecture which is a hybridization of a symbolic network and subsymbol vectors (...)
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