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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/41736
Title: The Multi-Genre NLI Corpus
Other Titles: MultiNLI
Authors: Williams, Adina
Nangia, Nikita
Bowman, Samuel R.
Issue Date: 2018
Citation: Adina Williams, Nikita Nangia, and Samuel R. Bowman. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. Proceedings of NAACL. 2018.
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.
URI: http://hdl.handle.net/2451/41736
metadata.dc.rights: Permissively licensed for distribution, but licences vary by section. See the paper PDF included with the distributed corpus for details.
Appears in Collections:Machine Learning for Language Lab

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