@inproceedings{park-zubiaga-2026-bicon,
title = "{B}i{C}on-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking",
author = "Park, Hyunkyung and
Zubiaga, Arkaitz",
editor = "Akhtar, Mubashara and
Aly, Rami and
Cao, Rui and
Christodoulopoulos, Christos and
Cocarascu, Oana and
Guo, Zhijiang and
Mittal, Arpit and
Schlichtkrull, Michael and
Thorne, James and
Vlachos, Andreas",
booktitle = "Proceedings of the Ninth Fact Extraction and {VER}ification Workshop ({FEVER})",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.fever-1.5/",
pages = "59--73",
ISBN = "979-8-89176-365-4",
abstract = "Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite candidate for each response claim via staged de-colloquialisation, combining lightweight surface normalisation with scoped in-claim coreference resolution. We then introduce BiCon-Gate, a semantics-aware consistency gate that selects the rewrite candidate only when it is semantically supported by the dialogue context, otherwise falling back to the original claim. On the DialFact benchmark, this gated selection stabilises downstream fact-checking and yields gains in both evidence retrieval and fact verification particularly strong gains on SUPPORTS and outperforms competitive baselines, including a decoder-based one-shot LLM rewrite that attempts to perform all de-colloquialisation steps in a single pass."
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<abstract>Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite candidate for each response claim via staged de-colloquialisation, combining lightweight surface normalisation with scoped in-claim coreference resolution. We then introduce BiCon-Gate, a semantics-aware consistency gate that selects the rewrite candidate only when it is semantically supported by the dialogue context, otherwise falling back to the original claim. On the DialFact benchmark, this gated selection stabilises downstream fact-checking and yields gains in both evidence retrieval and fact verification particularly strong gains on SUPPORTS and outperforms competitive baselines, including a decoder-based one-shot LLM rewrite that attempts to perform all de-colloquialisation steps in a single pass.</abstract>
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%0 Conference Proceedings
%T BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking
%A Park, Hyunkyung
%A Zubiaga, Arkaitz
%Y Akhtar, Mubashara
%Y Aly, Rami
%Y Cao, Rui
%Y Christodoulopoulos, Christos
%Y Cocarascu, Oana
%Y Guo, Zhijiang
%Y Mittal, Arpit
%Y Schlichtkrull, Michael
%Y Thorne, James
%Y Vlachos, Andreas
%S Proceedings of the Ninth Fact Extraction and VERification Workshop (FEVER)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-365-4
%F park-zubiaga-2026-bicon
%X Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite candidate for each response claim via staged de-colloquialisation, combining lightweight surface normalisation with scoped in-claim coreference resolution. We then introduce BiCon-Gate, a semantics-aware consistency gate that selects the rewrite candidate only when it is semantically supported by the dialogue context, otherwise falling back to the original claim. On the DialFact benchmark, this gated selection stabilises downstream fact-checking and yields gains in both evidence retrieval and fact verification particularly strong gains on SUPPORTS and outperforms competitive baselines, including a decoder-based one-shot LLM rewrite that attempts to perform all de-colloquialisation steps in a single pass.
%U https://aclanthology.org/2026.fever-1.5/
%P 59-73
Markdown (Informal)
[BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking](https://aclanthology.org/2026.fever-1.5/) (Park & Zubiaga, FEVER 2026)
ACL