For the more challenging follow-up turns, CASA-NLU yields significant gains over the baseline IC performance.
these systems predict the possible slotvalue pairs at utterance level (Zhong et al., 2018), making it necessary to maintain ontology of all possible slot values, which is infeasible for certain slot types (e.g., restaurant names).