@inproceedings{wu-shih-2018-short,
    title = "A Short Answer Grading System in {C}hinese by Support Vector Approach",
    author = "Wu, Shih-Hung  and
      Shih, Wen-Feng",
    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/W18-3718/",
    doi = "10.18653/v1/W18-3718",
    pages = "125--129",
    abstract = "In this paper, we report a short answer grading system in Chinese. We build a system based on standard machine learning approaches and test it with translated corpus from two publicly available corpus in English. The experiment results show similar results on two different corpus as in English."
}