NDLI: Research on Multi-document Summarization Using Lexical Cohesion

Content Provider	IEEE Xplore Digital Library
Author	Yanmin Chen Xizhong Lou Julong Pan
Copyright Year	2009
Abstract	This paper investigates using lexical cohesion to generate a moderately fluent semantic summary from a collection of documents written in Chinese. Based on the algorithm of cohesion analysis using the relationship among the words in the HowNet knowledge database, the built system computes concept frequency rather than word frequency as a measurement of importance. It merges the analysis of lexical semantics and some summarization principles to remove the redundancy and remain the difference in multiple documents. Such approach reduces information loss due to vocabulary switching in the summarization process and the use of a more general notion of relatedness which is based on lexical semantics. Thus we can take into account some more-distant relationship between words. Evaluation results show that the performance of the presented system is obviously better than that of the baseline system. The system can be applied to on-line web texts processing.
Starting Page	118
Ending Page	122
File Size	248071
Page Count	5
File Format	PDF
ISBN	9780769538174
DOI	10.1109/WISM.2009.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Vocabulary Educational institutions Frequency measurement Lexical Cohesion Text processing Information systems Information analysis Databases Text recognition Mice Hownet Summarization
Content Type	Text
Resource Type	Article

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