@InProceedings{ferracane-wang-mooney:2017:I17-1,
  author    = {Ferracane, Elisa  and  Wang, Su  and  Mooney, Raymond},
  title     = {Leveraging Discourse Information Effectively for Authorship Attribution},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {584--593},
  abstract  = {We explore techniques to maximize the effectiveness of discourse information in
	the task of authorship attribution. We present a novel method to embed
	discourse features in a Convolutional Neural Network text classifier, which
	achieves a state-of-the-art result by a significant margin. We empirically
	investigate several featurization methods to understand the conditions under
	which discourse features contribute non-trivial performance gains, and analyze
	discourse embeddings.},
  url       = {http://www.aclweb.org/anthology/I17-1059}
}