Papers by Xuling Zheng
A Sequence-to-Sequence&Set Model for Text-to-Table Generation (2023.findings-acl)
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| Challenge: | Existing models for text-to-table generation are order-insensitive, but suffer from errors . a novel sequence-tosequence&set model generates table body rows in parallel . |
| Approach: | They propose a sequence-to-sequence generation task that serializes each table into a token sequence during training by concatenating all rows in a top-down order. |
| Outcome: | The proposed model outperforms baselines on commonly-used datasets. |