Papers by Yujuan Ding
Non-Autoregressive Sentence Ordering (2023.findings-emnlp)
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| Challenge: | Existing sentence ordering approaches only leverage unilateral dependencies during decoding and cannot fully explore the semantic dependency between sentences. |
| Approach: | They propose a non-autoregressive ordering network that explores bilateral dependencies between sentences and predicts sentences for each position in parallel. |
| Outcome: | The proposed model outperforms existing autoregressive sentence ordering approaches and yields competitive performance compared with the state-of-the-arts. |