In particular, as the difficulty of domains associated with 'open-vocabulary' slots increased, like calendar and message, a larger gap in performance emerged to the amount of about a 5% absolute gain for slot filling and about a 1% error rate for intent detection.
multi-task learning with the intent detection model did not have much effect on the performance of slot filling.