@InProceedings{sari-vlachos-stevenson:2017:EACLshort,
  author    = {Sari, Yunita  and  Vlachos, Andreas  and  Stevenson, Mark},
  title     = {Continuous N-gram Representations for Authorship Attribution},
  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     = {267--273},
  abstract  = {This paper presents work on using continuous representations for authorship at-
	tribution. In contrast to previous work, which uses discrete feature
	representations, our model learns continuous representations for n-gram
	features via a neural network jointly with the classification layer.
	Experimental results demonstrate that the proposed model outperforms the
	state-of-the-art on two datasets, while producing comparable results on the
	remaining two.},
  url       = {http://www.aclweb.org/anthology/E17-2043}
}