Who cites «A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking»
- Fact or Fiction: Verifying Scientific ClaimsDavid Wadden, Shanchuan Lin, Kyle Lo, et al.2020 · 706 citations
- A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
- Explainable Automated Fact-Checking for Public Health ClaimsNeema Kotonya, Francesca Toni2020 · 314 citations
- A Survey on Stance Detection for Mis- and Disinformation IdentificationMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2022 · 187 citations
- COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 PandemicArkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan2021 · 168 citations
- Evidence-based Fact-Checking of Health-related ClaimsMourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.2021 · 129 citations
- Cross-Domain Label-Adaptive Stance DetectionMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2021 · 96 citations
- Complex Claim Verification with Evidence Retrieved in the WildJifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 84 citations
- STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence RetrievalCostanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.2020 · 22 citations
- Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionErik Arakelyan, Arnav Arora, Isabelle Augenstein2023 · 19 citations
- ARAFA: An LLM-Generated Arabic Fact-Checking DatasetChristophe Khalil, Shady Elbassuoni, Rida Assaf2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/hanselowski-2019-richly-annotated-corpus-different-tasks/cited-by/