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Verifiability is a core content policy of Wikipedia: claims that are likely to be challenged need to be backed by citations.
Okapi at trec-3
Stephen E Robertson, Steve Walker, Susan Jones, Micheline M Hancock-Beaulieu, Mike Gatford, et al · 1995
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Modern information retrieval , volume 463
Ricardo Baeza-Yates, Berthier Ribeiro-Neto, et al · 1999
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On the recommending of citations for research papers
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep Gopalkrishnan, Shyong K. Lam, Al Mamunur Rashid, Joseph A. Konstan, and John Riedl · 2002
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Modeling semantic containment and exclusion in natural language inference
Bill MacCartney and Christopher D. Manning · 2008
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Introduction to information retrieval , volume 39
Christopher D Manning, Prabhakar Raghavan, and Hinrich Schütze · 2008
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The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza · 2009
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Cluscite: Effective citation recommendation by information network-based clustering
Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, and Jiawei Han · 2014
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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
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Fine grained citation span for references in Wikipedia
Besnik Fetahu, Katja Markert, and Avishek Anand · 2017
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Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea · 2017
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Chandra Bhagavatula, Sergey Feldman, Russell Power, and Waleed Ammar · 2018
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e-snli: Natural language inference with natural language explanations
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, and Phil Blunsom · 2018
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WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages
Abhik Jana, Pranjal Kanojiya, Pawan Goyal, and Animesh Mukherjee · 2018
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Generating wikipedia by summarizing long sequences
Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer · 2018
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Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos · 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
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
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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
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2019
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Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela · 2019
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Shrimai Prabhumoye, Chris Quirk, and Michel Galley · 2019
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Citation needed: A taxonomy and algorithmic assessment of wikipedia’s verifiability
Miriam Redi, Besnik Fetahu, Jonathan Morgan, and Dario Taraborelli · 2019
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Real-time open-domain question answering with dense-sparse phrase index
Domain-matched pre-training tasks for dense retrieval, 2021
Barlas Oğuz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen tau Yih, Sonal Gupta, and Yashar Mehdad · 2021
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KILT: a benchmark for knowledge intensive language tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, and Sebastian Riedel · 2021
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On the value of wikipedia as a gateway to the web
Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, and Robert West · 2021
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The web is your oyster - knowledge-intensive NLP against a very large web corpus
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, and Sebastian Riedel · 2021
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Get your vitamin C! robust fact verification with contrastive evidence
Tal Schuster, Adam Fisch, and Regina Barzilay · 2021
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Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, and Hannaneh Hajishirzi · 2019
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The fever2. 0 shared task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal · 2019
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Ccnet: Extracting high quality monolingual datasets from web crawl data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Edouard Grave · 2019
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Zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer · 2019
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Citation detective: a public dataset to improve and quantify wikipedia citation quality at scale
Ai-Jou Chou, Guilherme Gonçalves, Sam Walton, and Miriam Redi · 2020
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Citation recommendation: approaches and datasets
Michael Färber and Adam Jatowt · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih · 2020
Cited alongside, same era.
Modeling popularity and reliability of sources in multilingual wikipedia
Włodzimierz Lewoniewski, Krzysztof Węcel, and Witold Abramowicz · 2020
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