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    题名: AutoSurvey: Automatic Survey Generation based on a Research Draft
    作者: 黃瀚萱
    Huang, Hen-Hsen
    贡献者: 資科系
    关键词: Natural Language Processing: general
    日期: 2020-07
    上传时间: 2021-06-04 14:37:51 (UTC+8)
    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.
    關聯: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI, pp.5255-5257
    数据类型: conference
    DOI 連結: https://doi.org/10.24963/ijcai.2020/761
    DOI: 10.24963/ijcai.2020/761
    显示于类别:[資訊科學系] 會議論文

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