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

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4 Author(s)
Meiling Liu ; Machine Intell. & Lranslation Lab., Harbin Inst. of Lechnology, Harbin, China ; De-quan Zheng ; Tie-Jun Zhao ; Yang Yu

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.

Published in:

Asian Language Processing (IALP), 2011 International Conference on

Date of Conference:

15-17 Nov. 2011

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