| dc.contributor | 資科系 | |
| dc.creator (作者) | 黃瀚萱 | |
| dc.creator (作者) | Huang, Hen-Hsen | |
| dc.creator (作者) | Hung, Shyh-Shiun | |
| dc.creator (作者) | Chen, Hsin-Hsi | |
| dc.date (日期) | 2020-07 | |
| dc.date.accessioned | 4-Jun-2021 14:36:53 (UTC+8) | - |
| dc.date.available | 4-Jun-2021 14:36:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-Jun-2021 14:36:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/135516 | - |
| dc.description.abstract (摘要) | This work proposes a standalone, complete Chinese discourse parser for practical applications. We approach Chinese discourse parsing from a variety of aspects and improve the shift-reduce parser not only by integrating the pre-trained text encoder, but also by employing novel training strategies. We revise the dynamic-oracle procedure for training the shift-reduce parser, and apply unsupervised data augmentation to enhance rhetorical relation recognition. Experimental results show that our Chinese discourse parser achieves the state-of-the-art performance. | |
| dc.format.extent | 437638 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL, pp.133-138 | |
| dc.title (題名) | A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.18653/v1/2020.acl-main.13 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.18653/v1/2020.acl-main.13 | |
