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Fact-checking requires retrieving evidence related to a claim under investigation.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Sentence-bert: Sentence embeddings using siamese bert-networks
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Free-marginal multirater kappa (multirater k [free]): An alternative to fleiss’ fixed-marginal multirater kappa
Justus J Randolph. 2005 · 2005
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A study of translation edit rate with targeted human annotation
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
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Good question! statistical ranking for question generation
Michael Heilman and Noah A. Smith. 2010 · 2010
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Computational journalism: A call to arms to database researchers
S Cohen, C Li, J Yang, and C Yu. 2011 · 2011
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Fleiss’ kappa statistic without paradoxes
Rosa Falotico and Piero Quatto. 2015 · 2015
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
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chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
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Evaluating the performance of automated text scoring systems
Helen Yannakoudakis and Ronan Cummins. 2015 · 2015
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
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How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
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Addressing complex and subjective product-related queries with customer reviews
Julian McAuley and Alex Yang. 2016 · 2016
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Progress toward “the holy grail”: The continued quest to automate fact-checking
Bill Adair, Chengkai Li, Jun Yang, and Cong Yu. 2017 · 2017
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Learning to ask: Neural question generation for reading comprehension
Xinya Du, Junru Shao, and Claire Cardie. 2017 · 2017
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We need to talk about reliability: making better use of test-retest studies for study design and interpretation
Granville J Matheson. 2019 · 2019
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Answer-based adversarial training for generating clarification questions
Sudha Rao and Hal Daumé. 2019 · 2019
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Plug and play language models: A simple approach to controlled text generation
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Generating fact checking briefs
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, and Sebastian Riedel. 2020 · 2020
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Discipline and promote: Building infrastructure and managing algorithms in a “structured journalism” project by professional fact-checking groups
Lucas Graves and Charles W Anderson. 2020 · 2020
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Nan Duan, Duyu Tang, Peng Chen, and Ming Zhou. 2017 · 2017
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Anatomy of a fact check: Objective practice and the contested epistemology of fact checking
Lucas Graves. 2017 · 2017
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Toward automated fact-checking: Detecting check-worthy factual claims by claimbuster
Naeemul Hassan, Fatma Arslan, Chengkai Li, and Mark Tremayne. 2017 · 2017
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spacy 2: Natural language understanding with bloom embeddings
Matthew Honnibal and Ines Montani. 2017 · 2017
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Gated self-matching networks for reading comprehension and question answering
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou. 2017 · 2017
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Neural question generation from text: A preliminary study
Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, and Ming Zhou. 2017 · 2017
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Towards a better metric for evaluating question generation systems
Preksha Nema and Mitesh M Khapra. 2018 · 2018
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On the importance of diversity in question generation for QA
Md Arafat Sultan, Shubham Chandel, Ramón Fernandez Astudillo, and Vittorio Castelli. 2020 · 2020
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Information delivered by a chatbot has a positive impact on covid-19 vaccines attitudes and intentions
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Guiding the growth: Difficulty-controllable question generation through step-by-step rewriting
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Paq: 65 million probably-asked questions and what you can do with them
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Engage the public: Poll question generation for social media posts
Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng, and Lemao Liu. 2021 · 2021
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Ask what’s missing and what’s useful: Improving clarification question generation using global knowledge
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, and Julian J. McAuley. 2021 · 2021
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Explainable fact-checking through question answering
Jing Yang, Didier Vega-Oliveros, Taís Seibt, and Anderson Rocha. 2021 · 2021
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Interpretation of natural language rules in conversational machine reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, and Sebastian Riedel. 2018 · 2097
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