NDLI: A logical paragraph division based on semantic characteristics and its application

Content Provider	IEEE Xplore Digital Library
Author	Zhu Zhenfang Liu Peiyu Lu Ran Chi Xuezhi
Copyright Year	2009
Description	Author affiliation: School of Computer, Shandong Police college, Ji'Nan 250014, China (Chi Xuezhi) \|\| School of Information Science and Technology, Shandong Normal University, Ji'Nan 250014, China (Zhu Zhenfang; Liu Peiyu; Lu Ran)
Abstract	In this paper, we introduced a new matching method based on logic-centered paragraphs. This method is built on the concept dictionary, in this method, the paragraphs which have the same meaning will be clustered by analyzing the logical concept of the text to be classified, and establish the logical paragraphs on the basis of the division method of logical levels. Then put the text to be classified in the right classification, which considered the contribution to the theme of different paragraphs in the text. At the same time, in order to solve problem of synonyms and polysemy in the texts to be classified, we introduced the expansion of the synonyms concept and related words. Experimental results show that this method can improve the effectiveness of classification, and a higher accuracy rate can be obtained in content flitting.
Starting Page	966
Ending Page	973
File Size	118754
Page Count	8
File Format	PDF
ISBN	9781424439287
DOI	10.1109/ITIME.2009.5236216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information science Matched filters Dictionaries Filtering algorithms Information filters Educational institutions Information filtering Application software Information technology Radio access networks
Content Type	Text
Resource Type	Article

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