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From Hyperbolic Geometry Back to Word Embeddings

2022-04-26 17:52:59
Sultan Nurmukhamedov, Thomas Mach, Arsen Sheverdin, Zhenisbek Assylbekov
arXiv_CL
   
Abstract

We choose random 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 recent alignment techniques.

Abstract (translated)

URL

https://arxiv.org/abs/2204.12481

PDF

https://arxiv.org/pdf/2204.12481.pdf

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