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Title: Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers
Authors: 鄭宇君
Cheng, Yu-Chung
Lee, Kuan-Lin
Chen, Pai-Lin
Huang, Hen-Hsen
Contributors: 傳播學院
Keywords: quote extraction;quote attribution;computational journalism
Date: 2020-04
Issue Date: 2020-12-21 09:30:19 (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, ACM, pp.98-99
Data Type: conference
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