@InProceedings{plank:2017:I17-4,
  author    = {Plank, Barbara},
  title     = {All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {143--148},
  abstract  = {We present All-In-1, a simple model for multilingual text classification that
	does not require any parallel data. It is based on a traditional Support Vector
	Machine classifier exploiting multilingual word embeddings and character
	n-grams. Our model is simple, easily extendable yet very effective, overall
	ranking 1st (out of 12 teams) in the IJCNLP 2017 shared task on customer
	feedback analysis in four languages: English, French, Japanese and Spanish.},
  url       = {http://www.aclweb.org/anthology/I17-4024}
}