@InProceedings{paetzold-specia:2017:EACLshort,
  author    = {Paetzold, Gustavo  and  Specia, Lucia},
  title     = {Lexical Simplification with Neural Ranking},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {34--40},
  abstract  = {We present a new Lexical Simplification approach that exploits Neural Networks
	to learn substitutions from the Newsela corpus - a large set of professionally
	produced simplifications. We extract candidate substitutions by combining the
	Newsela corpus with a retrofitted context-aware word embeddings model and rank
	them using a new neural regression model that learns rankings from annotated
	data. This strategy leads to the highest Accuracy, Precision and F1 scores to
	date in standard datasets for the task.},
  url       = {http://www.aclweb.org/anthology/E17-2006}
}