Burghard B. Rieger:
Procedural Meaning Representation. An empirical approach to word semantics and analogical inferencing
In: Horecky, J. (ed.): COLING 82 - Proceedings 9th International Conference on Computational Linguistics, [Linguistic Series 47], Amsterdam/New York/Oxford (North Holland) 1982, pp. 319-324
Abstract
Natural language understanding systems make use of language
and/or world knowledge bases. One of the salient problems
of meaning representation and knowledge structure is the
modelling of its acquisition and modification from natural
language processing. Based upon the statistical analysis of
discourse, a formal representation of vague word meanings is
derived which constitutes the lexical structure of the vocabulary employed in the texts as a fragment of the connotative
knowledge conveyed in discourse. It consists of a distance-like data structure of linguistically labeled space points
whose positions give a prototype-representation of conceptual
meanings. On the basis of these semantic space data an algorithm is presented which transforms prevailing similarities
of conceptual meanings as denoted by adjacent space points
to establish a binary, non-symmetric, and transitive relation
between them. This allows for the hierarchical reorganization
of points as nodes dependent on a head in a binary tree called
connotative dependency structure (CDS). It offers an empirically founded operational approach to determine relevant portions of the space structure constituting semantic dispositions
which the priming of a meaning point will trigger with decreasing criteriality. Thus, the CDS allows for the execution
of associatively guided search strategies, contents-oriented
retrieval operations, and source-dependent processes of analogical inferencing.
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