Many existing evidence-based factchecking datasets contain synthetic claims and the models trained on these data might not be able to verify real-world claims.
Sep 15, 2023 · To help advance automated Natural Language Processing (NLP) solutions for this task, in this paper we introduce a novel dataset HealthFC. It ...
Mar 25, 2024 · The dataset can be used for NLP tasks related to automated fact-checking, such as evidence retrieval, claim verification, or explanation ...
The task of verifying the truthfulness of claims in textual documents, or fact-checking, has received significant attention in recent years.
PDF | On Jan 1, 2021, Mourad Sarrouti and others published Evidence-based Fact-Checking of Health-related Claims | Find, read and cite all the research you ...
May 27, 2023 · The term refers to a rapid increase in the spread of information, both false and true, about a specific topic such as a disease. The increase ...
Claim: Can regular intake of vitamin C prevent colds? Document: The recommendation to take high-dose vitamin. C at the first signs of a cold cannot be ...
The content introduces the HealthFC dataset, focusing on fact-checking health claims. It covers dataset creation, analysis, challenges, and experiments with ...
Fact-checking of health-related claims has be- come necessary in this digital age, where any in- formation posted online is easily available to ev- eryone.
composed and extracted claims from Check-COVID and with or without FEVER and SciFact for training data. Metric details in Section 6.1.