AutoSurvey: Automatic Survey Generation based on a Research Draft

Title	AutoSurvey: Automatic Survey Generation based on a Research Draft
Creator	黃瀚萱 Huang, Hen-Hsen
Contributor	資科系
Key Words	Natural Language Processing: general
Date	2020-07
Date Issued	4-Jun-2021 14:37:51 (UTC+8)
Summary	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.
Relation	Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI, pp.5255-5257
Type	conference
DOI	https://doi.org/10.24963/ijcai.2020/761

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-Jun-2021 14:37:51 (UTC+8)	-
dc.date.available	4-Jun-2021 14:37:51 (UTC+8)	-
dc.date.issued (上傳時間)	4-Jun-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