@InProceedings{zirikly-desmet-diab:2016:VarDial3,
  author    = {Zirikly, Ayah  and  Desmet, Bart  and  Diab, Mona},
  title     = {The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection},
  booktitle = {Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {33--41},
  abstract  = {This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on
	the identification of similar languages (task 1) and Arabic dialects (task 2).
	For both tasks, we
	experimented with Logistic Regression and Neural Network classifiers in
	isolation.
	Additionally, we implemented a cascaded classifier that consists of coarse and
	fine-grained classifiers (task 1) and a classifier ensemble with majority
	voting for task 2. The submitted systems obtained state-of-the art performance
	and ranked first for the evaluation on social media data (test sets B1 and B2
	for task 1), with a maximum weighted F1 score of 91.94%.},
  url       = {http://aclweb.org/anthology/W16-4804}
}