@InProceedings{zhao-li-lin:2018:NLPTEA,
  author    = {Zhao, Jianbo  and  Li, Si  and  Lin, Zhiqing},
  title     = {Contextualized Character Representation for Chinese Grammatical Error Diagnosis},
  booktitle = {Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {172--179},
  abstract  = {Nowadays, more and more people are learning Chinese as their second language. Establishing an automatic diagnosis system for Chinese grammatical error has become an important challenge. In this paper, we propose a Chinese grammatical error diagnosis (CGED) model with contextualized character representation. Compared to the traditional model using LSTM (Long-Short Term Memory), our model have better performance and there is no need to add too many artificial features.},
  url       = {http://www.aclweb.org/anthology/W18-3725}
}