@InProceedings{jiang-lee:2017:NLPTEA,
  author    = {Jiang, Shu  and  Lee, John},
  title     = {Carrier Sentence Selection for Fill-in-the-blank Items},
  booktitle = {Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {17--22},
  abstract  = {Fill-in-the-blank items are a common form of exercise in computer-assisted
	language learning systems.  To automatically generate an effective item, the
	system must be able to select a high-quality carrier sentence that illustrates
	the usage of the target word.  Previous approaches for carrier sentence
	selection have considered sentence length, vocabulary difficulty, the position
	of the target word and the presence of finite verbs.  This paper investigates
	the utility of word co-occurrence statistics and lexical similarity as
	selection criteria.  In an evaluation on generating fill-in-the-blank items for
	learning Chinese as a foreign language, we show that these two criteria can
	improve carrier sentence quality.},
  url       = {http://www.aclweb.org/anthology/W17-5903}
}