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Table 6 

Top-N Acc for each word embedding model.

ModelTop-N Accuracy
N = 1N = 5N = 10
PPMI.w2 0.14 0.42 0.57 
PPMI.synf 0.14 0.46 0.61 
PPMI.synt 0.10 0.36 0.54 
GloVe 0.18 0.43 0.58 
SGNS.w2 0.19 0.49 0.64 
SGNS.synf 0.20 0.55 0.71 
SGNS.synt 0.23 0.57 0.74 
FastText 0.20 0.53 0.70 
ELMo 0.22 0.50 0.68 
BERT 0.30 0.59 0.76 
Random 0.00 0.01 0.01 
ModelTop-N Accuracy
N = 1N = 5N = 10
PPMI.w2 0.14 0.42 0.57 
PPMI.synf 0.14 0.46 0.61 
PPMI.synt 0.10 0.36 0.54 
GloVe 0.18 0.43 0.58 
SGNS.w2 0.19 0.49 0.64 
SGNS.synf 0.20 0.55 0.71 
SGNS.synt 0.23 0.57 0.74 
FastText 0.20 0.53 0.70 
ELMo 0.22 0.50 0.68 
BERT 0.30 0.59 0.76 
Random 0.00 0.01 0.01 
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