@InProceedings{peinelt-liakata-hsieh:2017:I17-3,
  author    = {Peinelt, Nicole  and  Liakata, Maria  and  Hsieh, Shu-Kai},
  title     = {ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners},
  booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
  month     = {November},
  year      = {2017},
  address   = {Tapei, Taiwan},
  publisher = {Association for Computational Linguistics},
  pages     = {41--44},
  abstract  = {Classifiers are function words that are used to express quantities in Chinese
	and are especially difficult for language learners. In contrast to previous
	studies, we argue that the choice of classifiers is highly contextual and train
	context-aware machine learning models based on a novel publicly available
	dataset, outperforming previous baselines. We further present use cases for our
	database and models in an interactive demo system.},
  url       = {http://www.aclweb.org/anthology/I17-3011}
}