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The task of fact-checking deals with assessing the veracity of factual claims based on credible evidence and background knowledge.
Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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The Unified Medical Language System (UMLS): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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PubMed and beyond: a survey of web tools for searching biomedical literature
Zhiyong Lu. 2011 · 2011
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Climate-fever: A dataset for verification of real-world climate claims
Thomas Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, and Markus Leippold. 2020 · 2012
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Misrepresentation of randomized controlled trials in press releases and news coverage: A cohort study
Amélie Yavchitz, Isabelle Boutron, Aida Bafeta, Ibrahim Marroun, Pierre Charles, Jean Mantz, and Philippe Ravaud. 2012 · 2012
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Fact checking: Task definition and dataset construction
Andreas Vlachos and Sebastian Riedel. 2014 · 2014
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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al. 2015 · 2015
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Ms marco: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
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An argument-annotated corpus of scientific publications
Anne Lauscher, Goran Glavaš, and Simone Paolo Ponzetto. 2018 · 2018
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Textpresso central: A customizable platform for searching, text mining, viewing, and curating biomedical literature
H.-M Müller, Kimberly Auken, Y. Li, and P. Sternberg. 2018 · 2018
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Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade. 2018 · 2018
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Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos. 2018 · 2018
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The fact extraction and VERification (FEVER) shared task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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LitSense: making sense of biomedical literature at sentence level
Alexis Allot, Qingyu Chen, Sun Kim, Roberto Vera Alvarez, Donald C Comeau, W John Wilbur, and Zhiyong Lu. 2019 · 2019
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Multifc: A real-world multi-domain dataset for evidence-based fact checking of claims
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, and Jakob Grue Simonsen. 2019 · 2019
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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BioSentVec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, and Zhiyong Lu. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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A richly annotated corpus for different tasks in automated fact-checking
Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, and Iryna Gurevych. 2019 · 2019
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Trust it or not: Effects of machine-learning warnings in helping individuals mitigate misinformation
Haeseung Seo, Aiping Xiong, and Dongwon Lee. 2019 · 2019
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PubTator central: automated concept annotation for biomedical full text articles
Chih-Hsuan Wei, Alexis Allot, Robert Leaman, and Zhiyong Lu. 2019 · 2019
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Hclaime: A tool for identifying health claims in health news headlines
Shi Yuan and Bei Yu. 2019 · 2019
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Rumor detection on social media with bi-directional graph convolutional networks
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wen bing Huang, Yu Rong, and Junzhou Huang. 2020 · 2020
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Beyond (mis)representation: Visuals in covid-19 misinformation
J Brennen, Felix Simon, and Rasmus Nielsen. 2020 · 2020
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Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: a practical guide
Suzie Cro, Tim P Morris, Michael G Kenward, and James R Carpenter. 2020 · 2020
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Bert-mk: Integrating graph contextualized knowledge into pre-trained language models
Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, and Tong Xu. 2020a · 2020
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Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, and James Caverlee. 2020b · 2020
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COVIDLies: Detecting COVID-19 misinformation on social media
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, and Sameer Singh. 2020 · 2020
Cited alongside, same era.
HoVer: A dataset for many-hop fact extraction and claim verification
Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, and Mohit Bansal. 2020 · 2020
Cited alongside, same era.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
Explainable automated fact-checking for public health claims
Neema Kotonya and Francesca Toni. 2020b · 2020
Cited alongside, same era.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
Cited alongside, same era.
Learning from disagreement: A survey
Alexandra N Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, and Massimo Poesio. 2021 · 2021
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Overview and insights from the SCIVER shared task on scientific claim verification
David Wadden and Kyle Lo. 2021 · 2021
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Climatebert: A pretrained language model for climate-related text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, and Markus Leippold. 2021 · 2021
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Misinformation in and about science
Jevin D. West and Carl T. Bergstrom. 2021 · 2021
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Claim detection in biomedical Twitter posts
Amelie Wührl and Roman Klinger. 2021 · 2021
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Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering
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Fine-grained fact verification with kernel graph attention network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, and Zhiyuan Liu. 2020 · 2020
Cited alongside, same era.
Document ranking with a pretrained sequence-to-sequence model
Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin. 2020 · 2020
Cited alongside, same era.
Fighting covid-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention
Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu, and David G. Rand. 2020 · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
Susceptibility to misinformation about covid-19 around the world
Jon Roozenbeek, Claudia R. Schneider, Sarah Dryhurst, John Kerr, Alexandra L. J. Freeman, Gabriel Recchia, Anne Marthe van der Bles, and Sander van der Linden. 2020 · 2020
Cited alongside, same era.
FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Gautam Kishore Shahi and Durgesh Nandini. 2020 · 2020
Cited alongside, same era.
Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
Cited alongside, same era.
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, and Michael Zeng. 2021 · 2021
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Automated fact-checking: A survey
Xia Zeng, Amani S. Abumansour, and Arkaitz Zubiaga. 2021 · 2021
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Abstract, rationale, stance: A joint model for scientific claim verification
Zhiwei Zhang, Jiyi Li, Fumiyo Fukumoto, and Yanming Ye. 2021 · 2021
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Missing counter-evidence renders NLP fact-checking unrealistic for misinformation
Max Glockner, Yufang Hou, and Iryna Gurevych. 2022 · 2022
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2022 · 2022
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A survey on automated fact-checking
Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos. 2022 · 2022
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A survey on stance detection for mis- and disinformation identification
Momchil Hardalov, Arnav Arora, Preslav Nakov, and Isabelle Augenstein. 2022 · 2022
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Human and technological infrastructures of fact-checking
Prerna Juneja and Tanushree Mitra. 2022 · 2022
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Proofver: Natural logic theorem proving for fact verification
Amrith Krishna, Sebastian Riedel, and Andreas Vlachos. 2022 · 2022
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Victor: An implicit approach to mitigate misinformation via continuous verification reading
Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, and Lun-Wei Ku. 2022 · 2022
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Covert: A corpus of fact-checked biomedical covid-19 tweets
Isabelle Mohr, Amelie Wührl, and Roman Klinger. 2022 · 2022
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Overview of the clef–2022 checkthat! lab on fighting the covid-19 infodemic and fake news detection
Preslav Nakov, Alberto Barrón-Cedeño, Giovanni da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, and Juliane Köhler. 2022 · 2022
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Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
Dan S. Nielsen and Ryan McConville. 2022 · 2022
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Ai in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, and Eric J Topol. 2022 · 2022
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Scinli: A corpus for natural language inference on scientific text
Mobashir Sadat and Cornelia Caragea. 2022 · 2022
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A decade of knowledge graphs in natural language processing: A survey
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, and Florian Matthes. 2022 · 2022
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SciFact-open: Towards open-domain scientific claim verification
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, and Hannaneh Hajishirzi. 2022a · 2022
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MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Wang, Arman Cohan, Iz Beltagy, and Hannaneh Hajishirzi. 2022b · 2022
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Modeling information change in science communication with semantically matched paraphrases
Dustin Wright, Jiaxin Pei, David Jurgens, and Isabelle Augenstein. 2022a · 2022
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Entity-based claim representation improves fact-checking of medical content in tweets
Amelie Wührl and Roman Klinger. 2022 · 2022
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Beyond belief: a cross-genre study on perception and validation of health information online
Chaoyuan Zuo, Kritik Mathur, Dhruv Kela, Noushin Faramarzi, and Ritwik Banerjee. 2022 · 2022
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Factkg: Fact verification via reasoning on knowledge graphs
Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, and Edward Choi. 2023 · 2023
Closest in time.
Juraj Vladika and Florian Matthes. 2023 · 2023
Closest in time.