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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...
In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006...
In this paper, we present a practical method of sentence ordering in 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,...
Document re-ranking is a middle module in information retrieval system. It's expected that more relevant documents with query appear in higher rankings, from which automatic query expansion can benefit, and it aims at improving the performance of the entire information retrieval. In this paper, we construct a pseudo labeled document based on pseudo-relevance feedback principle, and discuss about the...
A research on the connectivity of undirected version Basic Element complex network generated from topic-related document set is carried out. Key properties of the network are obtained. The networks are mainly connected except some components involving very small ratio of nodes of the whole network. And the key semantic units do not exist in these small components. The properties will simplify the...
Graph-based models and ranking algorithms have been drawn considerable attentions from the document summarization community in the recent years. However, in regard to query-oriented summarization, the influence of the query has been limited to the sentence nodes in the previous graph models. We argue that other than the sentence nodes the sentence-sentence edges should also be measured in accordance...
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