@InProceedings{francopenya-mamanisanchez:2016:VarDial3,
  author    = {Franco-Penya, Hector-Hugo  and  Mamani Sanchez, Liliana},
  title     = {Tuning Bayes Baseline for Dialect 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     = {227--234},
  abstract  = {This paper describes an analysis of our submissions to the Dialect Detection
	Shared Task 2016. We proposed three different systems that involved simplistic
	features, to name: a Naive-bayes system, a Support Vector Machines-based system
	and a Tree Kernel-based system. These systems underperform when compared to
	other submissions in this shared task, since the best one achieved an accuracy
	of $\sim$0.834.},
  url       = {http://aclweb.org/anthology/W16-4829}
}