Size vs. structure in training corpora for word embedding models: Araneum Russicum Maximum and Russian National Corpus
Table 1: Spearman’s ρ for models scores correlation against gold datasets.
['[BOLD] Corpus', '[BOLD] SimLex  [ITALIC] RuSimLex999', '[BOLD] SimLex  [ITALIC] RuSimLex965', '[BOLD] RuSSE sets  [ITALIC] HJ', '[BOLD] RuSSE sets  [ITALIC] WS353-Sim', '[BOLD] RuSSE sets  [ITALIC] WS353-rel']
For both models we measured Spearman correlation between the similarities produced by the models and the scores provided in the datasets. In the two cases of out-of-vocabulary word pairs for the original dataset, 0.0 was used as a placeholder for the model similarity. All the scores are statistically significant, with p value well below 0.01 level.