2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering 2009
DOI: 10.1109/kese.2009.14
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Abstract: In this paper, we present a practical method of sentence ordering in extractive multi-document summarization tasks of Chinese language. By using Support Vector Machine (SVM), we classify the sentences of a summary into several groups in rough position according to the source documents. Then we adjust the sentence sequence of each group according to the estimation of directional relativity of adjacent sentences, and find the sequence of each group. Finally, we connect the sequences of different groups to genera… Show more

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