Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design
COLING '80 Proceedings of the 8th conference on Computational linguistics
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
An Intelligent Lexicon for Contextual Word Sense Discrimination
Applied Intelligence
Learning the space of word meanings for information retrieval systems
COLING '86 Proceedings of the 11th coference on Computational linguistics
Hierarchical orderings of textual units
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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Cognitive principles underlying the (re-) construction of word meaning and/or world knowledge structures are poorly understood yet. In a rather sharp departure from more orthodox lines of introspective acquisition of structural data on meaning and knowledge representation in cognitive science, an empirical approach is explored that analyses natural language data statistically, represents its numerical findings fuzzy-set theoretically, and interprets its intermediate constructs (stereotype meaning points) topologically as elements of semantic space. As connotative meaning representations, these elements allow an aspect-controlled, contents-driven algorithm to operate which reorganizes them dynamically in dispositional dependency structures (DDS-trees) which constitute a procedurally defined meaning representation format.