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Gdańsk University of Technology

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Induction of the common-sense hierarchies in lexical data

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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Additional information

DOI
Digital Object Identifier link open in new tab 10.1007/978-3-642-24958-7_84
Category
Aktywność konferencyjna
Type
materiały konferencyjne indeksowane w Web of Science
Language
angielski
Publication year
2011

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