[Retracted] Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications

Table 4

Results (Spearman’s ) of HWE and other word embeddings models on the HyperLex dataset using different score functions.

Model	Score function
	CBOW	0.10	0.04	0.05	0.06
SGNS	0.08	0.05	0.00	0.09
GloVe	0.05	0.13	0.10	0.06
R-CBOW	0.10	0.03	0.03	0.02
R-SGNS	0.06	0.03	0.01	0.07
JR	0.07	0.07	0.04	0.04
HyperVec	0.17	0.47	0.51	0.04
LEAR	0.44	0.63	0.63	0.21
Poincaré	0.28	0.22	0.21	0.24
HWE	0.27	0.48	0.35	0.26