Papers by Zihui Gu

1 papers
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training (2022.emnlp-main)

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Challenge: Table-based fact verification has attracted a lot of attention recently due to the lack of datasets that can be used to pre-train language models to be aware of common table operations.
Approach: They propose a table-based fact verification tool that pre-trains language models to be aware of common table operations such as aggregating a column or comparing tuples.
Outcome: The proposed method outperforms previous methods on two table-based fact verification datasets TabFact and SEM-TAB- FACTS.

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