FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering (2023.acl-long)
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Anku Rani, S.M Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth, Amitava Das
| Challenge: | Contemporary fact-checking systems focus on estimating truthfulness using numerical scores which are not human-interpretable. |
| Approach: | They propose a 5W framework for question-answer-based fact explainability that can assist human fact-checkers in asking relevant questions . they propose masked language model which generates QA pairs for claims and a baseline QA system that automatically locates those answers from evidence documents. |
| Outcome: | The proposed framework can assist human fact-checkers in asking relevant questions related to a fact, which can then be validated separately to reach a final verdict. |
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