Papers with self-Labeled Keypoint Alignment model

1 papers
Table-based Fact Verification with Self-labeled Keypoint Alignment (2022.coling-1)

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Challenge: Existing methods for fact verification rely on graph feature or data augmentation but fail to investigate evidence correlation between statement and table effectively.
Approach: They propose a self-labeled keypoint alignment model to explore correlation between statement and table . they propose integrating a mixture-of experts block to integrate interacted information .
Outcome: The proposed model outperforms the state-of-the-art models and captures interpretable evidence words on three widely-studied datasets.

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