@inproceedings{liu2020incomplete,
author = {LIU, Qian and Chen, Bei and Lou, Jian-Guang and ZHOU, Bin and Zhang, Dongmei},
title = {Incomplete Utterance Rewriting as Semantic Segmentation},
booktitle = {EMNLP'20 (full paper)},
year = {2020},
month = {November},
abstract = {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.},
url = {http://approjects.co.za/?big=en-us/research/publication/incomplete-utterance-rewriting-as-semantic-segmentation/},
}