Burghard B. Rieger:
Computing Fuzzy Semantic Granules from Natural Language Texts
A computational semiotics approach to understanding word meanings
In:
Hamza, M.H. (ed.):
Artificial Intelligence and Soft Computing,
Proceedings of the IASTED International Conference,
Anaheim/ Calgary/ Zürich (IASTED/ Acta Press) 1999, pp. 475 - 479
Abstract
The notion of Computing with Words hinges crucially on the employment of
natural language expressions. As meaning representations, these
are considered observable and accessible evidence of processes of
human cognition, represented by textual structures and actualized
in processes of understanding. Cognitive processes and
language structures are characterized by information
granulation, organization, and causation which can be
modeled both, in their crisp as well as fuzzy
modes of structural and functional processing. Allowing this are
intrinsic constraints which may be exploited, analyzed, and
represented in a procedural way.
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