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We present a large-scale collection of diverse natural language inference (NLI) datasets that help provide insight into how well a sentence representation captures distinct types of reasoning.
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The pascal recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006 · 2006
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What syntax can contribute in the entailment task
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Microsoft research at rte-2: Syntactic contributions in the entailment task: an implementation
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An approach using named entities for recognizing textual entailment
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Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009 · 2009
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Relation alignment for textual entailment recognition
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Recognizing textual entailment: Rational, evaluation and approaches–erratum
Ido Dagan, Bill Dolan, Bernardo Magnini, and Dan Roth. 2010 · 2010
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Ju_cse_tac: Textual entailment recognition system at tac rte-6
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Extracting Implicit Knowledge from Text
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Why clowns taste funny: the relationship between humor and semantic ambiguity
Tristan A Bekinschtein, Matthew H Davis, Jennifer M Rodd, and Adrian M Owen. 2011 · 2011
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Identifying relations for open information extraction
Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011 · 2011
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Knowledge-based weak supervision for information extraction of overlapping relations
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld. 2011 · 2011
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Learning word vectors for sentiment analysis
Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011 · 2011
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The winograd schema challenge
Hector J Levesque, Ernest Davis, and Leora Morgenstern. 2012 · 2012
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From humor recognition to irony detection: The figurative language of social media
Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012 · 2012
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Open language learning for information extraction
Michael Schmitz, Robert Bart, Stephen Soderland, Oren Etzioni, et al. 2012 · 2012
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Recognizing textual entailment: Models and applications
Ido Dagan, Dan Roth, Mark Sammons, and Fabio Massimo Zanzotto. 2013 · 2013
A computational model of s-selection
Aaron Steven White and Kyle Rawlins. 2016 · 2016
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The groningen meaning bank
Johan Bos, Valerio Basile, Kilian Evang, Noortje J Venhuizen, and Johannes Bjerva. 2017 · 2017
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An overview of natural language inference data collection: The way forward?
Stergios Chatzikyriakidis, Robin Cooper, Simon Dobnik, and Staffan Larsson. 2017 · 2017
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Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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Understanding and improving morphological learning in the neural machine translation decoder
Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, and Stephan Vogel. 2017 · 2017
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Natural language inference from multiple premises
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Facc1: Freebase annotation of clueweb corpora, version 1 (release date 2013-06-26, format version 1, correction level 0)
Evgeniy Gabrilovich, Michael Ringgaard, and Amarnag Subramanya. 2013 · 2013
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The verbcorner project: Toward an empirically-based semantic decomposition of verbs
Joshua K Hartshorne, Claire Bonial, and Martha Palmer. 2013 · 2013
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Hidden factors and hidden topics: understanding rating dimensions with review text
Julian McAuley and Jure Leskovec. 2013 · 2013
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Relation extraction with matrix factorization and universal schemas
Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M. Marlin. 2013 · 2013
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The Chameleon-like Nature of Evaluative Adjectives
Lauri Karttunen, Stanley Peters, Annie Zaenen, and Cleo Condoravdi. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Alice Lai, Yonatan Bisk, and Julia Hockenmaier. 2017 · 2017
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Semeval-2017 task 7: Detection and interpretation of english puns
Tristan Miller, Christian Hempelmann, and Iryna Gurevych. 2017 · 2017
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Multi-task video captioning with video and entailment generation
Ramakanth Pasunuru and Mohit Bansal. 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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Inference is everything: Recasting semantic resources into a unified evaluation framework
Aaron Steven White, Pushpendre Rastogi, Kevin Duh, and Benjamin Van Durme. 2017 · 2017
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R Bowman. 2017 · 2017
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Ordinal common-sense inference
Sheng Zhang, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017 · 2017
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
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Evaluating Compositionality in Sentence Embeddings
I. Dasgupta, D. Guo, A. Stuhlmüller, S. J. Gershman, and N. D. Goodman. 2018 · 2018
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Breaking nli systems with sentences that require simple lexical inferences
Max Glockner, Vered Shwartz, and Yoav Goldberg. 2018 · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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SciTail: A textual entailment dataset from science question answering
Tushar Khot, Ashish Sabharwal, and Peter Clark. 2018 · 2018
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Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems
Rebecca Marvin and Philipp Koehn. 2018 · 2018
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Stress test evaluation for natural language inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018 · 2018
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On the evaluation of semantic phenomena in neural machine translation using natural language inference
Adam Poliak, Yonatan Belinkov, James Glass, and Benjamin Van Durme. 2018a · 2018
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Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018a · 2018
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Neural models of factuality
Rachel Rudinger, Aaron Steven White, and Benjamin Van Durme. 2018b · 2018
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Performance impact caused by hidden bias of training data for recognizing textual entailment
Masatoshi Tsuchiya. 2018 · 2018
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amapreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. 2018 · 2018
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The role of veridicality and factivity in clause selection
Aaron Steven White and Kyle Rawlins. 2018 · 2018
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