Papers with column type annotation

1 papers
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding (2022.findings-naacl)

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Challenge: Existing methods for encoding text in tables require additional training and require additional pretraining.
Approach: They propose a novel encoding strategy that preserves the critical property of permutation invariance across rows or columns.
Outcome: The proposed approach outperforms state-of-the-art methods on three table interpretation tasks: column type annotation, relation extraction, and entity linking.

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