Conference Paper

A Study for Sentence Ordering Based on Grey Model

Comput. Sch., Wuhan Univ., Wuhan, China
DOI: 10.1109/APSCC.2010.97 In proceeding of: Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific
Source: IEEE Xplore

ABSTRACT This paper propose a method for sentence ordering in multi-document summarization task, which combine support vector machine (SVM) and Grey Model(GM). Firstly, the method train the SVM with sentences of source documents and predict sentences sequence of summary as primary dataset. Secondly, using Grey Model to process the primary dataset, and achieve the final sequence of summary sentences. Experiments on 100 summaries showed this method provide a much higher precision than probabilistic model in sentence ordering task.

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