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2 篇文献
 
NUS at DUC 2007: Using Evolutionary Models of Text  
This paper presents our new, querybased multi-document summarization system used in DUC 2007. Current graph-based approaches to text summarization, such as TextRank and LexRank, assume a static graph ......
Workshop on Materialized  2007
9次引用 0 0
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality  
We introduce a technique for identifying the most salient participants in a discussion. Our method, MavenRank is based on lexical centrality: a random walk is performed on a graph in which each node i......
Human Language Technologies: The Conference of the North American Chapter of the Association for Computational Linguistics  2007
4次引用 0 0

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