Papers › SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang
Dialogue systems in open domain have achieved great success due to the easily obtained single-turn corpus and the development of deep learning, but the multi-turn scenario is still a challenge because of the frequent coreference and information omission. In this paper, we investigate the incomplete utterance restoration which has brought general improvement over multi-turn dialogue systems in recent studies. Meanwhile, jointly inspired by the autoregression for text generation and the sequence labeling for text editing, we propose a novel semi autoregressive generator (SARG) with the high efficiency and flexibility. Moreover, experiments on two benchmarks show that our proposed model significantly outperforms the state-of-the-art models in terms of quality and inference speed.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dialogue Rewriting | CANARD | SARG | BLEU | 54.80 | #1 of 1 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (n_beam=5) | Rewriting F2 | 52.5 | #2 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (n_beam=5) | Rewriting F3 | 46.4 | #2 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (greedy) | BLEU-1 | 92.2 | #3 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (greedy) | BLEU-2 | 89.6 | #3 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (greedy) | ROUGE-1 | 92.1 | #3 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (greedy) | ROUGE-2 | 86.0 | #3 of 3 | Archive leaderboard | report |
| Dialogue Rewriting | Multi-Rewrite | SARG (greedy) | Rewriting F1 | 62.4 | #3 of 3 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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