Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/135518| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資科系 | |
| dc.creator | 黃瀚萱 | |
| dc.creator | Huang, Hen-Hsen | |
| dc.date | 2020-07 | |
| dc.date.accessioned | 2021-06-04T06:37:51Z | - |
| dc.date.available | 2021-06-04T06:37:51Z | - |
| dc.date.issued | 2021-06-04T06:37:51Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/135518 | - |
| dc.description.abstract | This work presents AutoSurvey, an intelligent system that performs literature survey and generates a summary specific to a research draft. A neural model for information structure analysis is employed for extracting fine-grained information from the abstracts of previous work, and a novel evolutionary multi-source summarization model is proposed for generating the summary of related work. This system is extremely used for both academic and educational purposes. | |
| dc.format.extent | 100167 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation | Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI, pp.5255-5257 | |
| dc.subject | Natural Language Processing: general | |
| dc.title | AutoSurvey: Automatic Survey Generation based on a Research Draft | |
| dc.type | conference | |
| dc.identifier.doi | 10.24963/ijcai.2020/761 | |
| dc.doi.uri | https://doi.org/10.24963/ijcai.2020/761 | |
| item.fulltext | With Fulltext | - |
| item.openairetype | conference | - |
| item.grantfulltext | restricted | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| Appears in Collections: | 會議論文 | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.