📰 FEVER 2021 — accepted papers

FEVER 2021 is the 2021 edition of the Workshop on Fact Extraction and VERification (FEVER), held in Dominican Republic, November 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared TaskRami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull et al.100 citations · our summary
2. Evidence Selection as a Token-Level Prediction TaskDominik Stammbach17 citations
3. FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in GermanJustus Mattern, Yu Qiao, Elma Kerz et al.14 citations
4. Neural Re-rankers for Evidence Retrieval in the FEVEROUS TaskMohammed Saeed, Giulio Alfarano, Khai Nguyen et al.14 citations
5. FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured informationMostafa Bouziane, Hugo Perrin, Amine Sadeq et al.11 citations
6. Team Papelo at FEVEROUS: Multi-hop Evidence PursuitChristopher Malon11 citations
7. Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and VerificationNeema Kotonya, Thomas Spooner, Daniele Magazzeni et al.10 citations
8. Verdict Inference with Claim and Retrieved Elements Using RoBERTaIn-Zu Gi, Ting-Yu Fang, Richard Tzong-Han Tsai10 citations
9. Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance LearningAalok Sathe, Joonsuk Park4 citations
10. Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTaMartin Funkquist4 citations

All accepted papers (13)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared TaskRami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull et al.100 citations · our summary
2. Evidence Selection as a Token-Level Prediction TaskDominik Stammbach17 citations
3. FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in GermanJustus Mattern, Yu Qiao, Elma Kerz et al.14 citations
4. Neural Re-rankers for Evidence Retrieval in the FEVEROUS TaskMohammed Saeed, Giulio Alfarano, Khai Nguyen et al.14 citations
5. FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured informationMostafa Bouziane, Hugo Perrin, Amine Sadeq et al.11 citations
6. Team Papelo at FEVEROUS: Multi-hop Evidence PursuitChristopher Malon11 citations
7. Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and VerificationNeema Kotonya, Thomas Spooner, Daniele Magazzeni et al.10 citations
8. Verdict Inference with Claim and Retrieved Elements Using RoBERTaIn-Zu Gi, Ting-Yu Fang, Richard Tzong-Han Tsai10 citations
9. Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance LearningAalok Sathe, Joonsuk Park4 citations
10. Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTaMartin Funkquist4 citations
11. Stance Detection in German News ArticlesLaura Mascarell, Tatyana Ruzsics, Christian Schneebeli et al.4 citations
12. Modeling Entity Knowledge for Fact VerificationYang Liu, Chenguang Zhu, Michael Zeng3 citations
13. A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning ApproachOrkun Temiz, Özgün Ozan Kılıç, Arif Ozan Kızıldağ et al.2 citations

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared TaskWorkshop on Fact Extraction and VERification (FEVER)Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.2021 · 178 citations

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)🤝Social Sciences (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓King's College LondonLondon · United Kingdom1 work here🎓University of CambridgeCambridge · United Kingdom1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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