Papers with table-based prediction tasks
TABBIE: Pretrained Representations of Tabular Data (2021.naacl-main)
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| Challenge: | Existing work on tabular representation-learning jointly models tables and associated text using self-supervised objective functions derived from pretrained language models such as BERT. |
| Approach: | They propose a tabular representation-learning model that integrates tabular data with a pretraining objective function that detects corrupted cells. |
| Outcome: | The proposed model understands complex table semantics and numerical trends. |