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Constructing Word Embeddings from the Random Hyperbolic Graph

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dc.contributor.author Nurmukhamedov, Sultan
dc.date.accessioned 2020-05-11T07:38:47Z
dc.date.available 2020-05-11T07:38:47Z
dc.date.issued 2020-04-30
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4630
dc.description.abstract Recent studies have shown that the appropriate space for word embeddings is not the Euclidean space, but negatively curved, hyperbolic space. We randomly throw points in the hyperbolic disc and claim that these points are already word representations. However, it is yet to be uncovered which point corresponds to which word of the human language of interest. This correspondence can be approximately established using a pointwise mutual information between words and graph matching techniques. The embeddings were evaluated at WS353 task, and then separately on its similarity and relatedness parts. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Sciences and Humanities en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Research Subject Categories::MATHEMATICS en_US
dc.title Constructing Word Embeddings from the Random Hyperbolic Graph en_US
dc.type Capstone Project en_US
workflow.import.source science

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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States

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