@InProceedings{narayan-EtAl:2017:EMNLP2017,
  author    = {Narayan, Shashi  and  Gardent, Claire  and  Cohen, Shay B.  and  Shimorina, Anastasia},
  title     = {Split and Rephrase},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {606--616},
  abstract  = {We propose a new sentence simplification task (Split-and-Rephrase) where the
	aim is to split a complex sentence into a meaning preserving sequence of
	shorter sentences. Like sentence simplification, splitting-and-rephrasing has
	the potential of benefiting both natural language processing and societal
	applications. Because shorter sentences are generally better processed by NLP
	systems, it could be used as a preprocessing step which facilitates and
	improves the performance of parsers, semantic role labellers and machine
	translation systems. It should also be of use for people with reading
	disabilities because it allows the conversion of longer sentences into shorter
	ones. This paper makes two contributions towards this new task. First, we
	create and make available a benchmark consisting of 1,066,115 tuples mapping a
	single complex sentence to a sequence of sentences expressing the same meaning.
	Second, we propose five models (vanilla sequence-to-sequence to
	semantically-motivated models) to understand the difficulty of the proposed
	task.},
  url       = {https://www.aclweb.org/anthology/D17-1064}
}