A dependency-based distributional semantic model for identifying taxonomic similarity

Are dependency-based distributional semantic models worth the computational cost and the linguistic resources they require? As our evaluation study suggests, the answer should be "yes" if the task in hand involves distinguishing between feature-based similarity and pure association. After extensive parameter tuning, window-based models still fall behind dependency-based ones when evaluated on our Russian-language similarity/association dataset. (In Russian).