Since we have representation of categories, we propose nearest neighbor (NN) classification to categorize concepts by directly comparing concept vectors with candidate category vectors.
given a set of concepts E and a set of candidate categories C, we convert all concepts to concept vectors and all candidate categories to category vectors.