@inproceedings{li-etal-2023-xiang,
    title = "相似音节增强的越汉跨语言实体消歧方法(Similar syllable enhanced cross-lingual entity disambiguation for {V}ietnamese-{C}hinese)",
    author = "Li, Yujuan  and
      Song, Ran  and
      Mao, Cunli  and
      Huang, Yuxin  and
      Gao, Shengxiang  and
      Lu, Shan",
    editor = "Sun, Maosong  and
      Qin, Bing  and
      Qiu, Xipeng  and
      Jiang, Jing  and
      Han, Xianpei",
    booktitle = "Proceedings of the 22nd Chinese National Conference on Computational Linguistics",
    month = aug,
    year = "2023",
    address = "Harbin, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2023.ccl-1.19/",
    pages = "208--219",
    language = "zho",
    abstract = "{\textquotedblleft}跨语言实体消歧是在源语言句子中找到目标语言相对应的实体,对跨语言自然语言处理任务有重要支撑。现有跨语言实体消歧方法在资源丰富的语言上能得到较好的效果,但在资源稀缺的语种上效果不佳,其中越南语-汉语就是一对典型的低资源语言;另一方面,汉语和越南语是非同源语言存在较大差异,跨语言表征困难;因此现有的方法很难适用于越南语-汉语的实体消歧。事实上,汉语和越南语具有相似的音节特点,能够增强越-汉跨语言的实体表示。为更好的融合音节特征,我们提出相似音节增强的越汉跨语言实体消歧方法,缓解了越南语-汉语数据稀缺和语言差异导致性能不佳。实验表明,所提出方法优于现有的实体消歧方法,在R@1指标下提升了5.63{\%}。{\textquotedblright}"
}