Feverous Github. Fever (fact extraction and verification) consists of 185,445 claims generated by altering sentences extracted from wikipedia and subsequently verified. The fact extraction and verification (fever) shared task.
Repository for fact extraction and verification over unstructured and structured information (feverous), accepted to. Repository for fact extraction and verification over unstructured and structured information (feverous), accepted to neurips 2021 dataset and benchmarks and.
The Paper Introduces A New Dataset And Benchmark Called.
Fact verification has attracted a lot of attention in the machine learning and natural language processing communities, as it is one of the key methods for detecting misinformation.
Feverous Is A Fact Extraction And Verification Task That Requires Systems To Extract Evidence Of Both Sentences And Table Cells From A Wikipedia Dump, Then Predict The.
Fever (fact extraction and verification) consists of 185,445 claims generated by altering sentences extracted from wikipedia and subsequently verified.
Feverous (Fact Extraction And Verification Over Unstructured And Structured Information) Is A Fact Verification Dataset Which Consists Of 87,026 Verified Claims.