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Large-scale datasets for natural language inference are created by presenting crowd workers with a sentence (premise), and asking them to generate three new sentences (hypotheses) that it entails, contradicts, or is logically neutral with respect to.
Discovery of inference rules for question-answering
Dekang Lin and Patrick Pantel. 2001 · 2001
Earlier work this paper cites.
A SICK cure for the evaluation of compositional distributional semantic models
Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. 2014 · 2001
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The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006 · 2006
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VQA: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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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 · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Do supervised distributional methods really learn lexical inference relations?
Omer Levy, Steffen Remus, Chris Biemann, and Ido Dagan. 2015 · 2015
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Analyzing the behavior of visual question answering models
Aishwarya Agrawal, Dhruv Batra, and Devi Parikh. 2016 · 2016
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A thorough examination of the CNN/Daily Mail reading comprehension task
Danqi Chen, Jason Bolton, and Christopher D. Manning. 2016 · 2016
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Revisiting visual question answering baselines
Allan Jabri, Armand Joulin, and Laurens van der Maaten. 2016 · 2016
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A corpus and Cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
Cited alongside, same era.
A decomposable attention model for natural language inference
Ankur Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Natural language inference with external knowledge
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, and Diana Inkpen. 2017 · 2017
Cited alongside, same era.
Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loic Barrault, and Antoine Bordes. 2017 · 2017
Cited alongside, same era.
Evaluating compositionality in sentence embeddings
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J Gershman, and Noah D Goodman. 2018 · 2018
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Natural language inference over interaction space
Yichen Gong, Heng Luo, and Jian Zhang. 2018 · 2018
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Hypothesis only baselines for natural language inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R. Bowman. 2018 · 2018
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Crowdsourcing inference-rule evaluation
Naomi Zeichner, Jonathan Berant, and Ido Dagan. 2012 · 2031
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Making the V in VQA matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2017 · 2017
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Adversarial examples for evaluating reading comprehension systems
Robin Jia and Percy Liang. 2017 · 2017
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Social bias in elicited natural language inferences
Rachel Rudinger, Chandler May, and Benjamin Van Durme. 2017 · 2017
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The effect of different writing tasks on linguistic style: A case study of the ROC Story Cloze task
Roy Schwartz, Maarten Sap, Ioannis Konstas, Li Zilles, Yejin Choi, and Noah A. Smith. 2017 · 2017
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Visual referring expression recognition: What do our systems actually learn?
Volkan Cirik, Louis-Philippe Morency, and Taylor Berg-Kirkpatrick. 2018 · 2018
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Annotating relation inference in context via question answering
Omer Levy and Ido Dagan. 2016 · 2041
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Illinois-LH: A denotational and distributional approach to semantics
Alice Lai and Julia Hockenmaier. 2014 · 2055
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Bag of tricks for efficient text classification
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Pay attention to the ending:strong neural baselines for the ROC Story Cloze task
Zheng Cai, Lifu Tu, and Kevin Gimpel. 2017 · 2097
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