The Multi-Genre NLI Corpus

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DC Field	Value	Language
dc.contributor.author	Williams, Adina	-
dc.contributor.author	Nangia, Nikita	-
dc.contributor.author	Bowman, Samuel R.	-
dc.date.accessioned	2018-04-16T03:14:07Z	-
dc.date.available	2018-04-16T03:14:07Z	-
dc.date.issued	2018	-
dc.identifier.citation	Adina Williams, Nikita Nangia, and Samuel R. Bowman. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. Proceedings of NAACL. 2018.	en
dc.identifier.uri	http://hdl.handle.net/2451/41736	-
dc.description.abstract	The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information. The corpus is modeled on the SNLI corpus, but differs in that covers a range of genres of spoken and written text, and supports a distinctive cross-genre generalization evaluation. The corpus served as the basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen.	en
dc.description.sponsorship	This work was made possible by a Google Faculty Research Award.	en
dc.language.iso	en	en
dc.rights	Permissively licensed for distribution, but licences vary by section. See the paper PDF included with the distributed corpus for details.	en
dc.title	The Multi-Genre NLI Corpus	en
dc.title.alternative	MultiNLI	en
dc.type	Dataset	en
Appears in Collections:	Machine Learning for Language Lab

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multinli_1.0.zip	The Multi-Genre NLI Corpus	221.53 MB	Unknown	View/Open