Embedding Text in Hyperbolic Spaces
Table 4: Spearman’s ρ correlation coefficient for Word Similarity and Lexical Entailment tasks using SGNS and Poincaré embeddings.
['[BOLD] Task', '[BOLD] Method', '[BOLD] Dimension  [BOLD] 5', '[BOLD] Dimension  [BOLD] 20', '[BOLD] Dimension  [BOLD] 50', '[BOLD] Dimension  [BOLD] 100']
SGNS embeddings are superior for preserving word similarities, while Poincaré embeddings are superior for preserving lexical entailment. However, the best score for Poincaré embeddings is only 0.259, which is quite low. In comparison to the unsupervised baselines studied in Vulić et al.