Two-stage Incomplete Utterance Rewriting on Editing Operation

Zhiyu Cao, Peifeng Li, Qiaoming Zhu, Yaxin Fan


Abstract
Previous work on Incomplete Utterance Rewriting (IUR) has primarily focused on generating rewritten utterances based solely on dialogue context, ignoring the widespread phenomenon of coreference and ellipsis in dialogues. To address this issue, we propose a novel framework called TEO (Two-stage approach on Editing Operation) for IUR, in which the first stage generates editing operations and the second stage rewrites incomplete utterances utilizing the generated editing operations and the dialogue context. Furthermore, an adversarial perturbation strategy is proposed to mitigate cascading errors and exposure bias caused by the inconsistency between training and inference in the second stage. Experimental results on three IUR datasets show that our TEO outperforms the SOTA models significantly.
Anthology ID:
2025.coling-main.33
Volume:
Proceedings of the 31st International Conference on Computational Linguistics
Month:
January
Year:
2025
Address:
Abu Dhabi, UAE
Editors:
Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
496–507
Language:
URL:
https://aclanthology.org/2025.coling-main.33/
DOI:
Bibkey:
Cite (ACL):
Zhiyu Cao, Peifeng Li, Qiaoming Zhu, and Yaxin Fan. 2025. Two-stage Incomplete Utterance Rewriting on Editing Operation. In Proceedings of the 31st International Conference on Computational Linguistics, pages 496–507, Abu Dhabi, UAE. Association for Computational Linguistics.
Cite (Informal):
Two-stage Incomplete Utterance Rewriting on Editing Operation (Cao et al., COLING 2025)
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PDF:
https://aclanthology.org/2025.coling-main.33.pdf