@InProceedings{tran-bisazza-monz:2018:EMNLP,
  author    = {Tran, Ke  and  Bisazza, Arianna  and  Monz, Christof},
  title     = {The importance of Being Recurrent for Modeling Hierarchical Structure},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  month     = {October-November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {4731--4736},
  abstract  = {Recent work has shown that recurrent neural networks (RNNs) can implicitly capture and exploit hierarchical information when trained to solve common natural language processing},
  url       = {http://www.aclweb.org/anthology/D18-1503}
}