From Table 2, we see that GloVe is the best among the three word embedding learning methods compared in Table 2 for producing pre-trained word embeddings for the purpose of learning NWS scores.
nWS scores reports best results with GloVe embeddings in 10 out of the 18 benchmark datasets, whereas with CBOW embeddings it obtains the best results in the remaining 8 benchmark datasets.