@InProceedings{white-EtAl:2017:I17-1,
  author    = {White, Aaron Steven  and  Rastogi, Pushpendre  and  Duh, Kevin  and  Van Durme, Benjamin},
  title     = {Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework},
  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     = {996--1005},
  abstract  = {We propose to unify a variety of existing semantic classification tasks, such
	as semantic role labeling, anaphora resolution, and paraphrase detection, under
	the heading of Recognizing Textual Entailment (RTE). We present a general
	strategy to automatically generate one or more sentential hypotheses based on
	an input sentence and pre-existing manual semantic annotations. The resulting
	suite of datasets enables us to probe a statistical RTE model's performance on
	different aspects of semantics. We demonstrate the value of this approach by
	investigating the behavior of a popular neural network RTE model.},
  url       = {http://www.aclweb.org/anthology/I17-1100}
}