Papers with human fact-checker

2 papers
Complex Claim Verification with Evidence Retrieved in the Wild (2024.naacl-long)

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Challenge: Prior work makes simplifying assumptions in retrieval that depart from real-world use cases: no access to evidence, access to curated evidence, or access to published evidence after a claim was made.
Approach: They propose a pipeline to check claims using raw evidence from the web . they restrict their retriever to only search documents available prior to the claim's making .
Outcome: The proposed method is based on a political claim dataset and shows that the evidence summary produced by the system is reliable and relevant to answering key questions.
Estimating predictive uncertainty for rumour verification models (2020.acl-main)

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Challenge: Inability to correctly resolve rumours can have harmful real-world consequences.
Approach: They propose a method for incorporating model and data uncertainty estimates into natural language processing models for automatic rumour verification.
Outcome: The proposed methods filter out erroneous model predictions and prioritise them for a human fact-checker.

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