The GLE modules are used to encode the antecedent user utterance (H u p , c u p ), the current user utterance (H u , c u ), the previous system utterance (H s , c s ), each of the system acts (H a i , c a i ), as well as the previous slot-value (H v p , c v p ) and the candidate ( Referential Context Scorer: uses the candidate slot value (c v ), the antecedent user utterance as well as the previous slot-value to determine if the candidate slot value was referenced in the antecedent utterance.
the scorer uses the representation of the candidate slot value c v to attend over hidden states of the antecedent user utterance and the previous slot-value, H u p and H v p , and then computes attention weights for each of the hidden states.