Note that this unified form also includes SkipGram with noise contrastive estimation (SGNCE) (Mnih and Kavukcuoglu, 2013), which approximates m i,j = log( c i,j kc j ) in matrix factorization view.
table 4 shows the training time and performance results gained from our benchmark data.