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Automated scientific fact checking is difficult due to the complexity of scientific language and a lack of significant amounts of training data, as annotation requires domain expertise.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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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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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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A Survey of Evaluation Metrics Used for NLG Systems
Ananya B. Sai, Akash Kumar Mohankumar, and Mitesh M. Khapra. 2020 · 2008
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Scientific Claim Verification with VERT5ERINI
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, and Jimmy Lin. 2020 · 2010
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Computing Krippendorff’s alpha-reliability
Klaus Krippendorff. 2011 · 2011
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Broadening the Scope of Nanopublications
Tobias Kuhn, Paolo Emilio Barbano, Mate Levente Nagy, and Michael Krauthammer. 2013 · 2013
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein and Anders Søgaard. 2017 · 2017
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A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins, Isabelle Augenstein, and Sebastian Riedel. 2017 · 2017
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Question Generation for Question Answering
Nan Duan, Duyu Tang, Peng Chen, and Ming Zhou. 2017 · 2017
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Transforming Question Answering Datasets Into Natural Language Inference Datasets
Dorottya Demszky, Kelvin Guu, and Percy Liang. 2018 · 2018
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Hypothesis Only Baselines in Natural Language Inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
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FEVER: a Large-scale Dataset for Fact Extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams, Nikita Nangia, and Samuel R. Bowman. 2018 · 2018
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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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Inferring which medical treatments work from reports of clinical trials
Eric Lehman, Jay DeYoung, Regina Barzilay, and Byron C. Wallace. 2019 · 2019
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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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
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Claim Check-Worthiness Detection as Positive Unlabelled Learning
Dustin Wright and Isabelle Augenstein. 2020 · 2020
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Decontextualization: Making Sentences Stand-Alone
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, and Michael Collins. 2021 · 2021
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MS2: Multi-Document Summarization of Medical Studies
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, and Lucy Lu Wang. 2021 · 2021
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ALS Genetics, Mechanisms, and Therapeutics: Where Are We Now?
Rita Mejzini, Loren L Flynn, Ianthe L. Pitout, Sue Fletcher, Steve D. Wilton, and Patrick A. Akkari. 2019 · 2019
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MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
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ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
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The FEVER2.0 shared task
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Generating Label Cohesive and Well-Formed Adversarial Claims
Pepa Atanasova, Dustin Wright, and Isabelle Augenstein. 2020 · 2020
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Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
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A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
Xiangci Li, Gully A. Burns, and Nanyun Peng. 2021 · 2021
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Zero-shot Fact Verification by Claim Generation
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, and William Yang Wang. 2021 · 2021
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Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
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COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
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NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
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Longchecker: Improving scientific claim verification by modeling full-abstract context
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, and Hannaneh Hajishirzi. 2021 · 2021
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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
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Paraphrase Generation: A Survey of the State of the Art
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