Burghard B. Rieger:
Clusters in Semantic Space.
Analysing natural language texts to model word meaning as a procedural representation
In: Delatte, L. (ed.): Actes du Congrès International Informatique et Science Humaines, Lièges (Laboratoire d'Analyse Statistique des Langues Anciennes) 1983, pp. 805-814
Abstract
This paper will report on one of the objectives of a research project
in Computational Semantics currently under way by
MESY-group at the RWTH Technical University of Aachen. Among others,
the project is concerned with the development of automatic
frame construction from natural language discourse.
Both, in linguistic semantics and in artificial intelligence,
most of the language data processed is still obtained introspectively
or by way of questioning test-persons. Based mainly
on the investigator's or the system-designer's own linguistic
competence and/or world knowledge, the relevant data for
the
modelling of semantic and/or conceptual structures has a
more
or less ad hoc character and often lacks intersubjective
control.
Therefore, we have been and are trying to circumvent this
deficiency by developing an algorithmic procedure that takes
natural language texts on a certain subject domain as input
and produces as output a distance-like datastructure of
linguistically labeled space points whose positions represent
(connotative) meanings.
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