For recall, the feature-layer transitivity (PSL(WeakBase TrFeat)) enables the model to reach more words for a better recall, while the enrichment of the prior knowledge in PSL(WeakBase TrObv) helps to eliminate uncertainty but decreases recall.
we define the cohesion score of a semantic type with E-Hownet to model the generality.