ACL 2023findings4 citations
Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime
Zitong Li, Jiawei Li, Haifeng Tang, Kenny Zhu, Ruolan Yang
Abstract
Rewriting incomplete and ambiguous utterances can improve dialogue models’ understanding of the context and help them generate better results. However, the existing end-to-end models will have the problem of too large search space, resulting in poor quality of rewriting results. We propose a 2-phase rewriting framework which first predicts the empty slots in the utterance that need to be completed, and then generate the part to be filled into each positions. Our framework is simple to implement, fast to run, and achieves the state-of-the-art results on several public rewriting datasets.
BibTeX
@inproceedings{li-etal-2023-incomplete,
title = "Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime",
author = "Li, Zitong and
Li, Jiawei and
Tang, Haifeng and
Zhu, Kenny and
Yang, Ruolan",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.171/",
doi = "10.18653/v1/2023.findings-acl.171",
pages = "2731--2745"
}