@inproceedings{wang-etal-2021-ji-yu-ci,
    title = "基于词汇链强化表征的篇章修辞结构分析研究(Lexical Chain Based Strengthened Representation for Discourse Rhetorical Structure Parsing)",
    author = "Wang, Jinfeng  and
      Kong, Fang",
    editor = "Li, Sheng  and
      Sun, Maosong  and
      Liu, Yang  and
      Wu, Hua  and
      Liu, Kang  and
      Che, Wanxiang  and
      He, Shizhu  and
      Rao, Gaoqi",
    booktitle = "Proceedings of the 20th Chinese National Conference on Computational Linguistics",
    month = aug,
    year = "2021",
    address = "Huhhot, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.ccl-1.43/",
    pages = "467--476",
    language = "zho",
    abstract = "篇章分析作为自然语言处理领域的基础问题一直广受关注。由于语料规模有限,绝大多数已有研究仍依赖于外部特征的加入。针对该问题,本文提出了提出一种通用的表征增强方法,借助图卷积神经网络将词汇链信息融入到基本篇章单元的表征中。在RST-DT和CDTB上的实验证明,本文提出的表征增强方法能够提升多种篇章解析器的性能。"
}