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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/135524

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135524

Title:	Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers
Authors:	黃瀚萱 Huang, Hen-Hsen Lee, Kuan-Lin Cheng, Yu-Chung Chen, Pai-Lin
Contributors:	資科系
Keywords:	quote extraction;quote attribution;computational journalism
Date:	2020-04
Issue Date:	2021-06-04 14:40:53 (UTC+8)
Abstract:	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.
Relation:	WWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.98-99
Data Type:	conference
DOI 連結:	https://doi.org/10.1145/3366424.3382716
DOI:	10.1145/3366424.3382716
Appears in Collections:	[資訊科學系] 會議論文

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