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The scientific claim verification task requires an NLP system to label scientific documents which Support or Refute an input claim, and to select evidentiary sentences (or rationales) justifying each predicted label.
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
Earlier work this paper cites.
Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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The Probabilistic Relevance Framework: BM25 and Beyond
S. Robertson and H. Zaragoza. 2009 · 2009
Earlier work this paper cites.
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations
Benjamin E. Nye, Jay DeYoung, E. Lehman, A. Nenkova, I. Marshall, and Byron C. Wallace. 2020 · 2010
Earlier work this paper cites.
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Daniel Fernando Campos, T. Nguyen, M. Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, L. Deng, and Bhaskar Mitra. 2016 · 2016
Earlier work this paper cites.
Rationalizing Neural Predictions
Tao Lei, R. Barzilay, and T. Jaakkola. 2016 · 2016
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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
Earlier work this paper cites.
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Earlier work this paper cites.
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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PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, and Xinghua Lu. 2019 · 2019
Earlier work this paper cites.
Inferring Which Medical Treatments Work from Reports of Clinical Trials
Eric P. Lehman, Jay DeYoung, R. Barzilay, and Byron C. Wallace. 2019 · 2019
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Earlier work this paper cites.
Evidence Inference 2.0: More Data, Better Models
Jay DeYoung, E. Lehman, B. Nye, I. Marshall, and Byron C. Wallace. 2020 · 2020
Cited alongside, same era.
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
T. Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, and Markus Leippold. 2020 · 2020
Cited alongside, same era.
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
Cited alongside, same era.
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya and F. Toni. 2020 · 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.
S2ORC: The Semantic Scholar Open Research Corpus
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
Later among the works it cites.
Decontextualization: Making Sentences Stand-Alone
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, and Michael Collins. 2021 · 2021
Closest in time.
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yuxian Gu, Robert Tinn, Hao Cheng, Michael R. Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021
Closest in time.
Towards Few-shot Fact-Checking via Perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, and Pascale Fung. 2021 · 2021
Closest in time.
A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
Xiangci Li, G. Burns, and Nanyun Peng. 2021 · 2021
Closest in time.
Scientific Claim Verification with VerT5erini
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Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Michael Kinney, and Daniel S. Weld. 2020 · 2020
Cited alongside, same era.
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, and Jimmy Lin. 2020 · 2020
Cited alongside, same era.
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Weakly- and Semi-supervised Evidence Extraction
Danish Pruthi, Bhuwan Dhingra, Graham Neubig, and Zachary Chase Lipton. 2020 · 2020
Cited alongside, same era.
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, and Lucy Lu Wang. 2020 · 2020
Cited alongside, same era.
Fact or Fiction: Verifying Scientific Claims
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
Cited alongside, same era.
CORD-19: The COVID-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. 2020 · 2020
Cited alongside, same era.
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, and Jimmy Lin. 2021 · 2021
Closest in time.
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. 2021 · 2021
Closest in time.
Evidence-based Fact-Checking of Health-related Claims
Mourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, and Dina Demner-Fushman. 2021 · 2021
Closest in time.
Evidence Selection as a Token-Level Prediction Task
Dominik Stammbach. 2021 · 2021
Closest in time.
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
David Wadden and Kyle Lo. 2021 · 2021
Closest in time.
Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification
Zhiwei Zhang, Jiyi Li, Fumiyo Fukumoto, and Yanming Ye. 2021 · 2021
Closest in time.
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, and Lucy Lu Wang. 2022 · 2022
Closest in time.