Papers with feature representation layers
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data (2020.acl-main)
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| Challenge: | Recent years have witnessed the burgeoning of pretrained language models (LMs) for text-based natural language understanding tasks. |
| Approach: | They propose a pretrained language model that jointly learns representations for NL sentences and (semi-)structured tables. |
| Outcome: | The proposed model performs best on the weakly-supervised semantic parsing benchmark WikiTableQuestions while performing competitively on the text-to-SQL dataset Spider. |