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  • 學位論文

多文件摘要系統基於標題資訊

Topic-Based Multi-Document Summarization System

指導教授 : 李嘉晃

摘要


為了能在最短的時間內,得到最多的資訊內容,本論文發展自動摘要系統將這些大量的數位化文件剔除資訊量較低的句子,留下讀者想要吸取到的有用資訊,讓讀者快速且有效地了解這些資訊的內容而不失原意。

關鍵字

摘要系統 標題資訊

並列摘要


With the explosion in the amount of information available electronically, information overloading has become a major problem and people have to spend more and more time to look for the information they need. Automatic text summarization has draw much attention in recent years and it exhibits the practicability in document management and search systems.

並列關鍵字

Summarization System Topic-Based

參考文獻


[7] Gerard Salton, Andrew Wong, and Chung Shu Yang, “A vector space model for Information Retrieval”, In Proceedings of Journal of the American Society for Information Science, Volume 37, Issue 5, pages 279–287,September 1986
[1] Hans Peter Luhn, “Keyword-in-context index for technical literature. American Documentation”, Volume 11, Issue 4, pp 288–295, 1960.
[5] Jade Goldstein Stewart, “Genre Oriented Summarization”, A PhD Thesis of Carnegie Mellon University, December 2008.
[9] Daniel Marcu, “The Automatic Construction of Large-Scale Corpora for Summarization”, In Proceedings of the 22nd ACM SIGIR Conference, 1999.
[11] The Stanford Parser’s URL:

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