Before revision:  In this paper , we propose a novel model based on structure-induced self-attention , which encodes sequential inputs with highly-effective structure modeling .
After revision:  In this paper , we propose a novel model based on structure-induced self-attention , which encodes sequential code inputs with multi-view structural clues in terms of a newly-proposed structure-induced self-attention mechanism .