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    题名: Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers
    作者: 黃瀚萱
    Huang, Hen-Hsen
    Lee, Kuan-Lin
    Cheng, Yu-Chung
    Chen, Pai-Lin
    贡献者: 資科系
    关键词: quote extraction;quote attribution;computational journalism
    日期: 2020-04
    上传时间: 2021-06-04 14:40:53 (UTC+8)
    摘要: Quote attribution plays an important role in emerging research topics such as fact checking, stance detection, and argument mining. This work explores Chinese quote attribution from newspapers. Both direct and indirect quotes are addressed by a text-encoder based sequence labeling model. We create a dataset for empirical analysis. Experimental results show the effectiveness of our model.
    關聯: WWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.98-99
    数据类型: conference
    DOI 連結: https://doi.org/10.1145/3366424.3382716
    DOI: 10.1145/3366424.3382716
    显示于类别:[資訊科學系] 會議論文

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