| dc.contributor | 資科系 | |
| dc.creator (作者) | 黃瀚萱 | |
| dc.creator (作者) | Huang, Hen-Hsen | |
| dc.date (日期) | 2020-07 | |
| dc.date.accessioned | 4-六月-2021 14:37:51 (UTC+8) | - |
| dc.date.available | 4-六月-2021 14:37:51 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-六月-2021 14:37:51 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/135518 | - |
| dc.description.abstract (摘要) | 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 (關聯) | Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI, pp.5255-5257 | |
| dc.subject (關鍵詞) | Natural Language Processing: general | |
| dc.title (題名) | AutoSurvey: Automatic Survey Generation based on a Research Draft | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.24963/ijcai.2020/761 | |
| dc.doi.uri (DOI) | https://doi.org/10.24963/ijcai.2020/761 | |
