Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations 2023
DOI: 10.18653/v1/2023.emnlp-demo.23
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QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking

Liangming Pan,
Xinyuan Lu,
Min-Yen Kan
et al.

Abstract: Fact-checking real-world claims often requires complex, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decisionmaking, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multihop Fact-Checking (QACHECK) system, which guides the model's reasoning process by asking a series of questions critical for verifying a claim. QACHECK has five … Show more

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