政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/111981

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文笔数/总笔数 : 111316/142225 (78%)
造访人次 : 48383616 在线人数 : 699

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 > Item 140.119/111981

请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/111981

题名:	Semantic frame-based statistical approach for topic detection
作者:	謝宇倫 Chang, Y.-C. Hsieh, Yu Lun Chen, Cenchieh Liu, C. Lu, C.-H. Hsu, W.-L.
贡献者:	資管系
日期:	2014
上传时间:	2017-08-16 16:56:14 (UTC+8)
摘要:	We propose a statistical frame-based approach (FBA) for natural language processing, and demonstrate its advantage over traditional machine learning methods by using topic detection as a case study. FBA perceives and identifies semantic knowledge in a more general manner by collecting important linguistic patterns within documents through a unique flexible matching scheme that allows word insertion, deletion and substitution (IDS) to capture linguistic structures within the text. In addition, FBA can also overcome major issues of the rule-based approach by reducing human effort through its highly automated pattern generation and summarization. Using Yahoo! Chinese news corpus containing about 140,000 news articles, we provide a comprehensive performance evaluation that demonstrates the effectiveness of FBA in detecting the topic of a document by exploiting the semantic association and the context within the text. Moreover, it outperforms common topic models like Näive Bayes, Vector Space Model, and LDA-SVM. Copyright 2014 by Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen.
關聯:	Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014,75-84 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014; Cape Panwa HotelPhuket; Thailand; 12 December 2014 到 14 December 2014; 代碼 124040
数据类型:	conference
显示于类别:	[資訊管理學系] 會議論文

文件中的档案:

档案	描述	大小	格式	浏览次数
Y14-1011.pdf		2078Kb	Adobe PDF2	323	检视/开启

在政大典藏中所有的数据项都受到原著作权保护.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

数据加载中.....