Before revision:  Developers can refine the state machine to achieve higher accuracy. On the MultiWOZ benchmark, we achieve over 71 \% turn-by-turn slot accuracy on a cleaned, reannotated test set, without using any of the original training data.
After revision:  Developers can refine the state machine to synthesize training sets with TOC annotations; (2) data augmentation with automatic paraphrasing, (3) few-shot training, and (4) self-training. This paper also presents MultiWOZ 2.4, which consists of the full test set and a partial validation set of MultiWOZ 2.1, reannotated with the TOC representation. Skim achieves 78 \% turn-by-turn slot accuracy on a cleaned, reannotated test set, without using any of the original training data.