The first two rows of the table show that pruned paraphrase tables always outperform the other lexical resources used for comparison, with an accuracy increase up to 3%.
we observe that using 0.2 as a pruning threshold provides a good tradeoff between coverage and precision, leading to our best results on both datasets (63.50% for RTE3, and 62.67% for RTE5).