NDLI: Centroid Integer Selection Model -- A High Efficiency Method on Dynamic Multi-document Summarization

Content Provider	IEEE Xplore Digital Library
Author	Meiling Liu De-Quan Zheng Tiejun Zhao Yang Yu
Copyright Year	2011
Abstract	This paper researches centroid integer selection based on dynamic multi-document summarization (DMS) and presentes a dynamic multi-document summarization model, called Centroid Integer Selection Model (CISM). This model has mainly two steps. First, some abstracts were extracted from the document sets based on different first sentence, respectively. Second, the best abstract was selected based on centroid strategy from all the abstracts created in the first step. The best advantage this model showed was that it eliminated the effect caused by falsely selecting based on the first sentence. Some experiments were conducted on the Update Task test data from TAC2008, and results of new model were compared with results from the TAC2008 evaluation.
Starting Page	150
Ending Page	153
File Size	277228
Page Count	4
File Format	PDF
ISBN	9781457717338
DOI	10.1109/IALP.2011.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-15
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multi-document Dynamic Computational modeling Current measurement Laboratories Abstracts Information retrieval Silicon Electronic mail Centroid Integer Selection
Content Type	Text
Resource Type	Article

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Centroid Integer Selection Model -- A High Efficiency Method on Dynamic Multi-document Summarization