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We introduce scientific claim verification, a new task to select abstracts from the research literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to identify rationales justifying each decision.
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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An introduction to the bootstrap
Bradley Efron and Robert Tibshirani. 1993 · 1993
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Citances: Citation sentences for semantic analysis of bioscience text
Preslav I Nakov, Ariel S Schwartz, and Marti Hearst. 2004 · 2004
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Cord-19: The covid-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William. Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. 2020 · 2004
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, M. Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2020 · 2007
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An empirical investigation of statistical significance in nlp
Taylor Berg-Kirkpatrick, David Burkett, and Dan Klein. 2012 · 2012
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Tac 2014 biomedical summarization track
Kevin Bretonnel Cohen, Hoa Trang Dang, Anita de Waard, Prabha Yadav, and Lucy Vanderwende. 2014 · 2014
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Systematic review automation technologies
Guy Tsafnat, Paul P Glasziou, Miew Keen Choong, Adam G. Dunn, Filippo Galgani, and Enrico W. Coiera. 2014 · 2014
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Fact checking: Task definition and dataset construction
Andreas Vlachos and Sebastian Riedel. 2014 · 2014
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Matching citation text and cited spans in biomedical literature: a search-oriented approach
Arman Cohan, Luca Soldaini, and Nazli Goharian. 2015 · 2015
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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, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, and Georgios Paliouras. 2015 · 2015
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Emergent: a novel data-set for stance classification
William Ferreira and Andreas Vlachos. 2016 · 2016
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Rationalizing neural predictions
Tao Lei, Regina Barzilay, and Tommi S. Jaakkola. 2016 · 2016
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SemEval-2017 task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Arkaitz Zubiaga. 2017 · 2017
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The cl-scisumm shared task 2017: Results and key insights
Kokil Jaidka, Muthu Kumar Chandrasekaran, Devanshu Jain, and Min-Yen Kan. 2017 · 2017
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Automating biomedical evidence synthesis: Robotreviewer
Iain James Marshall, Joël Kuiper, Edward Banner, and Byron C. Wallace. 2017 · 2017
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Where the truth lies: Explaining the credibility of emerging claims on the web and social media
Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, and Gerhard Weikum. 2017 · 2017
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“liar, liar pants on fire”: A new benchmark dataset for fake news detection
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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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Seeing things from a different angle: Discovering diverse perspectives about claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, and Dan Roth. 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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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
William Yang Wang. 2017 · 2017
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Integrating stance detection and fact checking in a unified corpus
Ramy Baly, Mitra Mohtarami, James Glass, Lluís Màrquez, Alessandro Moschitti, and Preslav Nakov. 2018 · 2018
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Overview of the clef-2018 checkthat! lab on automatic identification and verification of political claims. task 2: Factuality
Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez i Villodre, Pepa Atanasova, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, and Preslav Nakov. 2018 · 2018
Cited alongside, same era.
Making progress with the automation of systematic reviews: principles of the international collaboration for the automation of systematic reviews (icasr)
Elaine Beller, Justin Clark, Guy Tsafnat, Clive Elliott Adams, Heinz Diehl, Hans Lund, Mourad Ouzzani, Kristina Thayer, James Thomas, Tari Turner, J. S. Xia, Karen A. Robinson, and Paul P Glasziou. 2018 · 2018
Cited alongside, same era.
The hitchhiker’s guide to testing statistical significance in natural language processing
Rotem Dror, Gili Baumer, Segev Shlomov, and Roi Reichart. 2018 · 2018
Cited alongside, same era.
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, and Noah A. Smith. 2018 · 2018
Cited alongside, same era.
Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
Cited alongside, same era.
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, and Xinghua Lu. 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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Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
Iain James Marshall and Byron C. Wallace. 2019 · 2019
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Towards debiasing fact verification models
Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, and Regina Barzilay. 2019 · 2019
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Bert for evidence retrieval and claim verification
Amir Soleimani, Christof Monz, and Marcel Worring. 2019 · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 2019
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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S2ORC: The Semantic Scholar Open Research Corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel S. Weld. 2020 · 2020
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