Overall, from Table 4, we can see that the proposed method reports the best performance results for most of the benchmark datasets.
the proposed method obtains the best results on TR, CR and SUBJ, whereas GloVe obtains the best performance on MR. Table 4 supports the conclusion drawn from Table 3 that it is beneficial to consider a sense-labelled corpus to obtain better word embeddings not only to learn sense embeddings.