From Paraphrase Database to Compositional Paraphrase Model and Back
Table 3: Results on the SimLex-999 (SL999) word similarity task obtained by performing hyperparameter tuning based on 2×WS-S −WS-R and treating SL999 as a held-out test set. n is word vector dimensionality. A ∗ indicates statistical significance (p<0.05) over the 1000-dimensional skip-gram vectors.
['Model', '[ITALIC] n', 'SL999  [ITALIC] ρ']
The “paragram WS” rows show results when tuning to maximize 2×WS-S − WS-R. We also show results for strong skip-gram baselines and the best results from the literature, including the state-of-the-art results from \newcitehill-14 as well as the inter-annotator agreement from \newciteHillRK14.