@InProceedings{schutze:2017:EACLlong,
  author    = {Sch\"{u}tze, Hinrich},
  title     = {Nonsymbolic Text Representation},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {785--796},
  abstract  = {We introduce the first generic text representation model that is
	completely nonsymbolic, i.e., it does not require the
	availability of a segmentation or tokenization method that
	attempts to identify words or other symbolic units in text.
	This applies to training the parameters of the model
	on a training corpus
	as well
	as to applying it when computing the representation of a new text.
	We show that our model performs better than prior work
	on an information extraction and a text denoising task.},
  url       = {http://www.aclweb.org/anthology/E17-1074}
}