@InProceedings{li-EtAl:2017:I17-4,
  author    = {Li, Xian  and  Wang, Peng  and  Wang, Suixue  and  Jiang, Guanyu  and  You, Tianyuan},
  title     = {CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis Task},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {78--83},
  abstract  = {Grammatical error diagnosis is an important task in natural language
	processing. This paper introduces CVTE Character Checking System in the
	NLP-TEA-4 shared task for CGED 2017, we use Bi-LSTM to generate the probability
	of every character, then take two kinds of strategies to decide whether a
	character is correct or not. This system is probably more suitable to deal with
	the error type of bad word selection, which is one of four types of errors, and
	the rest are words re-dundancy, words missing and words disorder. Finally the
	second strategy achieves better F1 score than the first one at all of detection
	level, identification level, position level.},
  url       = {http://www.aclweb.org/anthology/I17-4012}
}