However, instead of looking at individual words, we extract representations of semantic relations from sets of pairs T ρ = {(t i , ρ, r i )} instantiating the relation ρ.
for each relation ρ, LinM computes the average (or centroid) difference vector over the set of training pairs: the predictedr for an input (t, ρ) is the sum of the target vector and the relation's prototype.