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- W2362945235 abstract "This paper proposes a strategy of summary sentence selection by extraction for query-focused multi-document summarization.This method extracts the query related word features through the technique of query expansion,calculates the topic related feature through maximum likelihood estimation and then combines the two features to determine the importance of each word.The score of candidate sentence is set as the sum of importance of words in it,and the modified MMR technology is used to generate the final summary.Owing to the introduction to word level features,the experimental result shows a satisfactory performance in DUC 2005 corpus." @default.
- W2362945235 created "2016-06-24" @default.
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- W2362945235 date "2008-01-01" @default.
- W2362945235 modified "2023-09-24" @default.
- W2362945235 title "Summary Sentence Selection by Keywords Extraction" @default.
- W2362945235 hasPublicationYear "2008" @default.
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