Burghard B. Rieger:
In: COLING 84 - Proceedings of the 10th International Conference on Computational Linguistics, Stanford (Stanford UP) 1984, pp. 298--301.
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 word meanings and knowledge representation in cognitive science, an empirical approach is explored that analyses natural language data statistically from large text corpora, 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 a context-sensitive, aspect-controlled, and contents-driven algorithm to reorganizes these points dynamically in dispositional dependency structures (DDS-trees) which constitute a procedurally defined meaning representation format.
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