Before revision:  We conclude that this end-to-end dialogue augmentation framework can be a crucial tool for natural language understanding performance in emerging task-oriented dialogue domains.
After revision:  We conclude that this end-to-end dialogue augmentation framework can be a practical tool for natural language understanding performance in emerging task-oriented dialogue domains.