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https://ah.lib.nccu.edu.tw/handle/140.119/135524| 題名: | 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 |
貢獻者: | 資科系 | 關鍵詞: | quote extraction ; quote attribution ; computational journalism | 日期: | Apr-2020 | 上傳時間: | 4-Jun-2021 | 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 | 資料類型: | conference | DOI: | https://doi.org/10.1145/3366424.3382716 |
| Appears in Collections: | 會議論文 |
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