These results clearly indicate that the connectivity of latent vectors both within representational layers and across them influences the accuracy of recovering the whole propositional content associated with predicates.
our model connecting the latent vectors within the semantic layer significantly improves both the precision and the recall of the predicted propositions over the model where these connections are removed (second vs. third line).