@inproceedings{su-etal-2017-rephrasing,
    title = "Rephrasing Profanity in {C}hinese Text",
    author = "Su, Hui-Po  and
      Huang, Zhen-Jie  and
      Chang, Hao-Tsung  and
      Lin, Chuan-Jie",
    editor = "Waseem, Zeerak  and
      Chung, Wendy Hui Kyong  and
      Hovy, Dirk  and
      Tetreault, Joel",
    booktitle = "Proceedings of the First Workshop on Abusive Language Online",
    month = aug,
    year = "2017",
    address = "Vancouver, BC, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/W17-3003/",
    doi = "10.18653/v1/W17-3003",
    pages = "18--24",
    abstract = "This paper proposes a system that can detect and rephrase profanity in Chinese text. Rather than just masking detected profanity, we want to revise the input sentence by using inoffensive words while keeping their original meanings. 29 of such rephrasing rules were invented after observing sentences on real-word social websites. The overall accuracy of the proposed system is 85.56{\%}"
}