Induction of the common-sense hierarchies in lexical data

Julian Szymański; Włodzisław Duch

doi:10.1007/978-3-642-24958-7_84

Induction of the common-sense hierarchies in lexical data

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 dentification 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.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Published in:: LECTURE NOTES IN COMPUTER SCIENCE pages 726 - 734,
ISSN: 0302-9743
Title of issue:: NEURAL INFORMATION PROCESSING, PT II strony 726 - 734
Language:: English
Publication year:: 2011
Bibliographic description:: Szymański J., Duch W..: Induction of the common-sense hierarchies in lexical data, W: NEURAL INFORMATION PROCESSING, PT II, 2011, ,.
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-642-24958-7_84
Verified by:: Gdańsk University of Technology