Modeling Semantic Relatedness using Global Relation Vectors
Table 6: Results for measuring degrees of prototypicality (Spearman ρ×100).
['Diff', 'Conc', 'Avg', '[ITALIC] R1 [ITALIC] ik', '[ITALIC] R2 [ITALIC] ik', '[ITALIC] R3 [ITALIC] ik', '[ITALIC] R4 [ITALIC] ik']
We can observe that our model again outperforms the baselines, with R2ik again being the best performing variant. Interestingly, in this case, the Avg baseline is considerably stronger than Diff and Conc. Intuitively, we might indeed expect that this ranking problem requires a more fine-grained representation than the classification setting from the previous experiment.