@InProceedings{jiang-lee:2017:BEA,
  author    = {Jiang, Shu  and  Lee, John},
  title     = {Distractor Generation for Chinese Fill-in-the-blank Items},
  booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {143--148},
  abstract  = {This paper reports the first study on automatic generation of distractors for
	fill-in-the-blank items for learning Chinese vocabulary.  We investigate the
	quality of distractors generated by a number of criteria, including
	part-of-speech, difficulty level, spelling, word co-occurrence and semantic
	similarity.  Evaluations show that a semantic similarity measure, based on the
	word2vec model, yields distractors that are significantly more plausible than
	those generated by baseline methods.},
  url       = {http://www.aclweb.org/anthology/W17-5015}
}