52 citations · 83 across the 9 of their papers we have counts for
4 papers · 1 filter
Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence. This extends the well-studied…
Database Reasoning Over Text
James Thorne, Majid Yazdani, Marzieh Saeidi +3
Neural models have shown impressive performance gains in answering queries from natural language text. However, existing works are unable to support database queries, such as "List…
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Rami Aly, Zhijiang Guo, Michael Schlichtkrull +5
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…
AmbiFC: Fact-Checking Ambiguous Claims with Evidence
Max Glockner, Ieva Staliūnaitė, James Thorne +3
Automated fact-checking systems verify claims against evidence to predict their veracity. In real-world scenarios, the retrieved evidence may not unambiguously support or refute th…