Papers with evaluation of meaningful logic

1 papers
Interpretable Multimodal Misinformation Detection with Logic Reasoning (2023.findings-acl)

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Challenge: Existing methods for misinformation detection lack interpretability due to the black-box nature of the neural network.
Approach: They propose a logic-based neural model which integrates interpretable logic clauses to express the reasoning process of the target task.
Outcome: The proposed model can be generalizable across multiple misinformation sources and is based on three public datasets.

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