Learning Graph Embeddings from WordNet-based Similarity Measures
Table 1: Spearman correlation scores with WordNet similarities on the 666 noun pairs in SimLex999.
['Model', '[ITALIC] Selection of synsets JCN-S', '[ITALIC] Selection of synsets LCH', '[ITALIC] Selection of synsets ShP', '[ITALIC] Selection of synsets WuP']
how well they approximate the WordNet similarity functions output (the raw WordNet similarities always get the perfect correlation in this evaluation setup). All the reported rank correlation value differences in this and other tables are statistically significant based on the standard two-sided p-value. We report the results for the best models for each method, all of them (except FSE) using vector size 300 for comparability.