@inproceedings{wen-etal-2022-e,
    title = "俄语网络仇恨言论语料库研究与构建(An {R}ussian {I}nternet Corpus for Hate Speech Detection)",
    author = "Wen, Xin  and
      Zheng, Minjiao",
    editor = "Sun, Maosong  and
      Liu, Yang  and
      Che, Wanxiang  and
      Feng, Yang  and
      Qiu, Xipeng  and
      Rao, Gaoqi  and
      Chen, Yubo",
    booktitle = "Proceedings of the 21st Chinese National Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Nanchang, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.ccl-1.62/",
    pages = "694--703",
    language = "zho",
    abstract = "``近年来,网络科技的飞速发展在为整个社会带来极大便利的同时,也加剧了仇恨言论的传播。仇恨言论可能会构成网络暴力,诱发仇恨性的犯罪行为,对社会公共文明和网络空间秩序造成极大的威胁。因此,对网络仇恨言论进行主动的监管和制约具有重大意义。而当前学术界针对俄语的网络仇恨言论研究不足,尤其缺乏俄语网络仇恨言论语料库,这极大地限制了相关技术和应用的发展。2022年俄乌冲突爆发以后,对于俄语网络仇恨言论语料库的研究与构建显得更加迫切。在本文中,作者提出了一种细粒度的俄语网络仇恨言论语料库构建及标注方案,并基于该方案首次创建了包含20476条文本数据,具有针对性、话题统一的俄语仇恨性言论语料库。''"
}