@InProceedings{polin-EtAl:2016:NLPTEA2016,
  author    = {PO-LIN, CHEN  and  Wu, Shih-Hung  and  Chen, Liang-Pu  and  yang, ping-che},
  title     = {CYUT-III System at Chinese Grammatical Error Diagnosis Task},
  booktitle = {Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {63--72},
  abstract  = {This paper describe the CYUT-III system on grammar error detection in the 2016
	NLP-TEA Chinese Grammar Error Detection shared task CGED. In this task a system
	has to detect four types of errors, in-cluding redundant word error, missing
	word error, word selection error and word ordering error. Based on the
	conditional random fields (CRF) model, our system is a linear tagger that can
	detect the errors in learners’ essays. Since the system performance depends
	on the features heavily, in this paper, we are going to report how to integrate
	the collocation feature into the CRF model. Our system presents the best
	detection accuracy and Identification accuracy on the TOCFL dataset, which is
	in traditional Chi-nese. The same system also works well on the simplified
	Chinese HSK dataset.},
  url       = {http://aclweb.org/anthology/W16-4909}
}