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- W2391658797 abstract "Automatic multi-document summarization is an outgrowth of single document summarization. A statistical approach to multi-document summarization is presented. It utilizes the semantic relevance between segments of documents. Text-tiling algorithm is implemented to break documents into semantic relevant segments. These segments are merged into some topic classes according to the semantic similarity by using clustering algorithm. The representative segments are extracted from topic classes to form the summarization result. By using real Chinese corpus, experimental results show the system' s effectiveness and suitability." @default.
- W2391658797 created "2016-06-24" @default.
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- W2391658797 date "2003-01-01" @default.
- W2391658797 modified "2023-09-25" @default.
- W2391658797 title "Research and Implementation of Automatic Multi-Document Summarization System" @default.
- W2391658797 hasPublicationYear "2003" @default.
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