Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/135524| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資科系 | |
| dc.creator | 黃瀚萱 | |
| dc.creator | Huang, Hen-Hsen | |
| dc.creator | Lee, Kuan-Lin | |
| dc.creator | Cheng, Yu-Chung | |
| dc.creator | Chen, Pai-Lin | |
| dc.date | 2020-04 | |
| dc.date.accessioned | 2021-06-04T06:40:53Z | - |
| dc.date.available | 2021-06-04T06:40:53Z | - |
| dc.date.issued | 2021-06-04T06:40:53Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/135524 | - |
| dc.description.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. | |
| dc.format.extent | 223094 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation | WWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.98-99 | |
| dc.subject | quote extraction ; quote attribution ; computational journalism | |
| dc.title | Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers | |
| dc.type | conference | |
| dc.identifier.doi | 10.1145/3366424.3382716 | |
| dc.doi.uri | https://doi.org/10.1145/3366424.3382716 | |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | conference | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | 會議論文 | |
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