论文标题
不完整的话语重写作为语义分段
Incomplete Utterance Rewriting as Semantic Segmentation
论文作者
论文摘要
近年来，不完整的话语重写的任务引起了人们的关注。以前的作品通常将其塑造为机器翻译任务，并使用副本机制采用序列到基于序列的体系结构。在本文中，我们提出了一种新颖而广泛的方法，该方法将其作为语义分割任务提出。这样的公式不是从头开始生成，而是引入编辑操作，并将问题塑造为单词级编辑矩阵的预测。从能够捕获本地和全球信息的情况下，我们的方法在几个公共数据集上实现了最先进的绩效。此外，我们的方法比推理的标准方法快四倍。
Recent years the task of incomplete utterance rewriting has raised a large attention. Previous works usually shape it as a machine translation task and employ sequence to sequence based architecture with copy mechanism. In this paper, we present a novel and extensive approach, which formulates it as a semantic segmentation task. Instead of generating from scratch, such a formulation introduces edit operations and shapes the problem as prediction of a word-level edit matrix. Benefiting from being able to capture both local and global information, our approach achieves state-of-the-art performance on several public datasets. Furthermore, our approach is four times faster than the standard approach in inference.
