@InProceedings{fung-EtAl:2017:NLPTEA,
  author    = {Fung, Gabriel  and  Debosschere, Maxime  and  Wang, Dingmin  and  Li, Bo  and  Zhu, Jia  and  Wong, Kam-Fai},
  title     = {NLPTEA 2017 Shared Task -- Chinese Spelling Check},
  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     = {29--34},
  abstract  = {This paper provides an overview along with our findings of the Chinese Spelling
	Check shared task at NLPTEA 2017. The goal of this task is to develop a
	computer-assisted system to automatically diagnose typing errors in traditional
	Chinese sentences written by students. We defined six types of errors which
	belong to two categories. Given a sentence, the system should detect where the
	errors are, and for each detected error determine its type and provide
	correction suggestions. We designed, constructed, and released a benchmark
	dataset for this task.},
  url       = {http://www.aclweb.org/anthology/W17-5905}
}