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Cloze tests are widely adopted in language exams to evaluate students' language proficiency.
“cloze procedure”: a new tool for measuring readability
Wilson L Taylor. 1953 · 1953
Earlier work this paper cites.
The cloze test as an integrative measure of efl proficiency: A substitute for essays on college entrance examinations?
Sandra S Fotos. 1991 · 1991
Earlier work this paper cites.
Cloze item types and second language comprehension
Jon Jonz. 1991 · 1991
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
How to construct a cloze test: Lessons from testing measurement theory models
J Sachs, P Tung, and RYH Lam. 1997 · 1997
Earlier work this paper cites.
Active learning literature survey
Burr Settles. 2009 · 2009
Earlier work this paper cites.
Automatic generation of cloze question distractors
Rui Correia, Jorge Baptista, Nuno Mamede, Isabel Trancoso, and Maxine Eskenazi. 2010 · 2010
Earlier work this paper cites.
Predicting cloze task quality for vocabulary training
Adam Skory and Maxine Eskenazi. 2010 · 2010
Earlier work this paper cites.
Proficiency assessment standards in second language acquisition research
Annie Tremblay. 2011 · 2011
Earlier work this paper cites.
The microsoft research sentence completion challenge
Geoffrey Zweig and Christopher JC Burges. 2011 · 2011
Earlier work this paper cites.
Automatic generation of cloze question stems
Rui Correia, Jorge Baptista, Maxine Eskenazi, and Nuno J Mamede. 2012 · 2012
Earlier work this paper cites.
One billion word benchmark for measuring progress in statistical lming
Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, and Tony Robinson. 2013 · 2013
Earlier work this paper cites.
A system for generating cloze test items from russian-language text
Andrey Kurtasov. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
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Anselmo Peñas, Yusuke Miyao, Álvaro Rodrigo, Eduard H Hovy, and Noriko Kando. 2014 · 2014
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Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
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Hideyuki Shibuki, Kotaro Sakamoto, Yoshinobu Kano, Teruko Mitamura, Madoka Ishioroshi, Kelly Y Itakura, Di Wang, Tatsunori Mori, and Noriko Kando. 2014 · 2014
Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
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Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick. 2016 · 2016
Later among the works it cites.
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Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2016 · 2016
Later among the works it cites.
Active bias: Training more accurate neural networks by emphasizing high variance samples
Haw-Shiuan Chang, Erik Learned-Miller, and Andrew McCallum. 2017 · 2017
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Pradeep Dasigi, Waleed Ammar, Chris Dyer, and Eduard Hovy. 2017 · 2017
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