Induction of the common-sense hierarchies in lexical data

Authors:
Julian Szymański;Włodzisław Duch
Affiliations:
Department of Computer Systems Architecture, Gdańsk University of Technology, Poland;Department of Informatics, Nicolaus Copernicus University, Toruń, Poland
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Year:
2011

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Abstract

Unsupervised organization of a set of lexical concepts that captures common-sense knowledge inducting meaningful partitioning of data is described. Projection of data on principal components allow for identification of clusters with wide margins, and the procedure is recursively repeated within each cluster. Application of this idea to a simple dataset describing animals created hierarchical partitioning with each clusters related to a set of features that have common-sense interpretation.