To prevent introducing bias in this manual filtering step, we define each relation descriptor directly as its five nearest neighboring words in the input vocabulary.
since the full vocabulary would contain many uncommon words which could hinder the interpretation of relation descriptors, we limit both models to choose descriptor words from the most frequently occurring 500 words in their own processed input vocabulary (i.e., verb predicates only for LARN and all words for RMN).