This is the latest result of our group. Our paper “Explainable Fact-Checking through Question Answering” has been accepted at ICASSP 2022.
We address fact-checking explainability through question answering
to fight misleading or false information.
In particular, we propose generating questions and answers from claims and answering the same questions from evidence. We also propose an answer comparison model with an attention mechanism attached to each question. Leveraging question answering as a proxy, we break down automated fact-checking into several steps — this separation aids models’ explainability as it allows for more detailed analysis of their decision-making processes. Experimental results show that the proposed model can achieve state-of-the-art performance while providing reasonable explainable capabilities.
[Supplementary material] https://lnkd.in/dkvMpSWV