@inproceedings{wu-etal-2018-cyut,
    title = "{CYUT}-{III} Team {C}hinese Grammatical Error Diagnosis System Report in {NLPTEA}-2018 {CGED} Shared Task",
    author = "Wu, Shih-Hung  and
      Wang, Jun-Wei  and
      Chen, Liang-Pu  and
      Yang, Ping-Che",
    editor = "Tseng, Yuen-Hsien  and
      Chen, Hsin-Hsi  and
      Ng, Vincent  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-3729/",
    doi = "10.18653/v1/W18-3729",
    pages = "199--202",
    abstract = "This paper reports how we build a Chinese Grammatical Error Diagnosis system in the NLPTEA-2018 CGED shared task. In 2018, we sent three runs with three different approaches. The first one is a pattern-based approach by frequent error pattern matching. The second one is a sequential labelling approach by conditional random fields (CRF). The third one is a rewriting approach by sequence to sequence (seq2seq) model. The three approaches have different properties that aim to optimize different performance metrics and the formal run results show the differences as we expected."
}