Accuracy scores in Table 2 suggest that, even with small training data SVD can produce good vectors for the paradigmatic task.
this quick observation is consistent with previous findings regarding the superior performance of count models on word similarity and categorization tasks when models were trained on small corpora and with their default post-processing setting (Asr et al., 2016;Sahlgren & Lenci, 2016).