In similarity-based models, on the other hand, two words that have never been seen in the same argument slot in the generalization corpus will have zero similarity.
a similarity-based model can assign a level of preference for an argument r p and word w 0 only if R(w 0 ) ∩ R(Seen(r p )) is nonempty.