Evaluation of Greek Word Embeddings
Table 8: Summary for 3CosMul and top-1 nearest vectors.
['Category Semantic', 'Category no oov words', 'gr_def 60.60%', 'gr_neg10 62.50%', 'cc.el.300  [BOLD] 70.90%', 'wiki.el 37.50%', 'gr_cbow_def 29.80%', 'gr_d300_nosub 62.50%', 'gr_w2v_sg_n5 54.60%']
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.