Evaluation of Greek Word Embeddings
Table 7: Summary for 3CosMul and top-5 nearest vectors.
['Category Semantic', 'Category no oov words', 'gr_def 83.72%', 'gr_neg10 84.38%', 'cc.el.300  [BOLD] 88.50%', 'wiki.el 65.85%', 'gr_cbow_def 52.05%', 'gr_d300_nosub 83.26%', 'gr_w2v_sg_n5 80.00%']
We noticed that the sub-category in which most models had the worst performance was currency country category, [CONTINUE] Sub-categories as adjectives antonyms and performer action had the highest percentage of out-of-vocabulary terms, so we observed lower performance in these categories for all models.