FEVER
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About
FEVER (Fact Extraction and VERification) is a series of workshops and shared tasks dedicated to combating false information by advancing research in verifiable knowledge extraction and automated fact-checking. The initiative provides a venue for work on topics such as recognizing textual entailment, question answering, and argumentation mining. The upcoming FEVER8 workshop, co-located with ACL 2025, will introduce a new shared task emphasizing efficient, reproducible, and open-source approaches to automated fact-checking, addressing the previous reliance on large, proprietary models. It aims to improve evaluation and provide new, real-world claim datasets.
Platform
Task
Features
• automated fact-checking
• verifiable knowledge extraction
• efficient, reproducible, and open-source ai approaches
• argumentation mining
• question answering research
• research in textual entailment
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