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Alexander Kirillov edited abstract_en.tex
almost 8 years ago
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The standard cosine similarity is used as the distance between word-vectors.
Several geometric characteristics of the synset words are introduced: the interior of synset,
the synset word rank and centrality. These notions are intended to select the most significant synset words, i.e. the words
which senses are the nearest
ones to the sense of a synset.
Some experiments with proposed notions, based on Rusvectores resources, are represented.