Papers › From Hyperbolic Geometry Back to Word Embeddings

From Hyperbolic Geometry Back to Word Embeddings

26 Apr 2022RepL4NLP (ACL) 2022 5arXiv:2204.12481archive 2025-07-28

Sultan Nurmukhamedov, Thomas Mach, Arsen Sheverdin, Zhenisbek Assylbekov

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.

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