region:us
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.
@InProceedings{N18-1101,
  author = {Williams, Adina
            and Nangia, Nikita
            and Bowman, Samuel},
  title = {A Broad-Coverage Challenge Corpus for
           Sentence Understanding through Inference},
  booktitle = {Proceedings of the 2018 Conference of
               the North American Chapter of the
               Association for Computational Linguistics:
               Human Language Technologies, Volume 1 (Long
               Papers)},
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {1112--1122},
  location = {New Orleans, Louisiana},
  url = {http://aclweb.org/anthology/N18-1101}
}
Entry not found