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Recent work on unsupervised question answering has shown that models can be trained with procedurally generated question-answer pairs and can achieve performance competitive with supervised methods.
Learning and evaluating general linguistic intelligence
Dani Yogatama, Cyprien de Masson d’Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, et al. 2019 · 1901
Earlier work this paper cites.
How additional knowledge can improve natural language commonsense question answering?
Arindam Mitra, Pratyay Banerjee, Kuntal Kumar Pal, Swaroop Mishra, and Chitta Baral. 2019 · 1909
Earlier work this paper cites.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
Earlier work this paper cites.
The verb mutability effect: Studies of the combinatorial semantics of nouns and verbs
Dedre Gentner and Ilene M France. 1988 · 1988
Earlier work this paper cites.
tmpfs: A virtual memory file system
Peter Snyder. 1990 · 1990
Earlier work this paper cites.
Regularity in semantic change , volume 97
Elizabeth Closs Traugott and Richard B Dasher. 2001 · 2001
Earlier work this paper cites.
Linformer: Self-attention with linear complexity
Sinong Wang, Belinda Li, Madian Khabsa, Han Fang, and Hao Ma. 2020 · 2006
Earlier work this paper cites.
On the evolution of wikipedia
Rodrigo B Almeida, Barzan Mozafari, and Junghoo Cho. 2007 · 2007
Earlier work this paper cites.
Super-resolution from a single image
Daniel Glasner, Shai Bagon, and Michal Irani. 2009 · 2009
Earlier work this paper cites.
Image and video upscaling from local self-examples
Gilad Freedman and Raanan Fattal. 2011 · 2011
Earlier work this paper cites.
Self-supervised vqa: Answering visual questions using images and captions
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, and Chitta Baral. 2020 · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Elasticsearch: the definitive guide: a distributed real-time search and analytics engine
Clinton Gormley and Zachary Tong. 2015 · 2015
Earlier work this paper cites.
Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
Earlier work this paper cites.
Cultural shift or linguistic drift? comparing two computational measures of semantic change
William L. Hamilton, Jure Leskovec, and Dan Jurafsky. 2016 · 2016
Earlier work this paper cites.
Multiplicative lstm for sequence modelling
Ben Krause, Liang Lu, Iain Murray, and Steve Renals. 2016 · 2016
Earlier work this paper cites.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
End-to-end answer chunk extraction and ranking for reading comprehension
Yang Yu, Wei Zhang, Kazi Hasan, Mo Yu, Bing Xiang, and Bowen Zhou. 2016 · 2016
Earlier work this paper cites.
spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
Earlier work this paper cites.
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Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
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Mitchell Stern, Jacob Andreas, and Dan Klein. 2017 · 2017
Cited alongside, same era.
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Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
Cited alongside, same era.
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W Wang, N Yang, F Wei, B Chang, and M Zhou. 2017 · 2017
Cited alongside, same era.
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Dirk Weissenborn, Georg Wiese, and Laura Seiffe. 2017 · 2017
Cited alongside, same era.
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Georg Wiese, Dirk Weissenborn, and Mariana Neves. 2017 · 2017
Compositional hyponymy with positive operators
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Unsupervised question answering by cloze translation
Patrick Lewis, Ludovic Denoyer, and Sebastian Riedel. 2019 · 2019
Later among the works it cites.
Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
Later among the works it cites.
Self-supervised knowledge triplet learning for zero-shot question answering
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Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
Cited alongside, same era.
Generating natural language adversarial examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, and Kai-Wei Chang. 2018 · 2018
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Simple and effective semi-supervised question answering
Bhuwan Dhingra, Danish Danish, and Dheeraj Rajagopal. 2018 · 2018
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Spyros Gidaris, Praveer Singh, and Nikos Komodakis. 2018 · 2018
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Women also snowboard: Overcoming bias in captioning models
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Mixed precision training
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, et al. 2018 · 2018
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Template-based question generation from retrieved sentences for improved unsupervised question answering
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Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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Selective question answering under domain shift
Amita Kamath, Robin Jia, and Percy Liang. 2020 · 2020
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Pre-training via paraphrasing
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, and Luke Zettlemoyer. 2020 · 2020
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Harvesting and refining question-answer pairs for unsupervised QA
Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, and Ke Xu. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Unsupervised adaptation of question answering systems via generative self-training
Steven Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, and Vaibhava Goel. 2020 · 2020
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Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
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Test-time training with self-supervision for generalization under distribution shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A Efros, and Moritz Hardt. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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Adversarial examples for evaluating reading comprehension systems
Robin Jia and Percy Liang. 2017 · 2031
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