Before revision:  In this paper, we investigate the incomplete utterance restoration since it has brought general improvement over multi-turn dialogue systems in different domains. In the task , we propose a novel semi autoregressive generator (SARG) with the high efficiency and flexibility , which is inspired by the autoregression for generation and the sequence labeling for overlapped rewriting .
After revision:  In this paper, we investigate the incomplete utterance restoration since it has brought general improvement over multi-turn dialogue systems in recent studies. Inspired by the autoregression for generation and the sequence labeling for text editing , we propose a novel semi autoregressive generator (SARG) with the high efficiency and flexibility , which is inspired by the autoregression for generation and the sequence labeling for overlapped rewriting .