@InProceedings{lai-bisk-hockenmaier:2017:I17-1,
  author    = {Lai, Alice  and  Bisk, Yonatan  and  Hockenmaier, Julia},
  title     = {Natural Language Inference from Multiple Premises},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {100--109},
  abstract  = {We define a novel textual entailment task that requires inference over multiple
	premise sentences. We present a new dataset for this task that minimizes
	trivial lexical inferences, emphasizes knowledge of everyday events, and
	presents a more challenging setting for textual entailment. We evaluate several
	strong neural baselines and analyze how the multiple premise task differs from
	standard textual entailment.},
  url       = {http://www.aclweb.org/anthology/I17-1011}
}