@InProceedings{shrestha-EtAl:2017:EACLshort,
  author    = {Shrestha, Prasha  and  Sierra, Sebastian  and  Gonzalez, Fabio  and  Montes, Manuel  and  Rosso, Paolo  and  Solorio, Thamar},
  title     = {Convolutional Neural Networks for Authorship Attribution of Short Texts},
  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     = {669--674},
  abstract  = {We present a model to perform authorship attribution of tweets using
	Convolutional Neural Networks (CNNs) over character n-grams. We also present a
	strategy that improves model interpretability by estimating the importance of
	input text fragments in the predicted classification.
	The experimental evaluation shows that text CNNs perform competitively and are
	able to outperform previous methods.},
  url       = {http://www.aclweb.org/anthology/E17-2106}
}