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In this paper, we present SEMMR, a novel subtopic-enriched sentence ranking method for Chinese multi-document summarization derived from Maximal Marginal Relevance (MMR). MMR is one of the most popular ranking algorithms for balancing the topical relevance and content redundancy in a unified framework, which has been well employed in the context of text retrieval and document summarization. For multi-document...
We know that the goal of computer education was fully achieved by the application of project-based cooperative learning (PBCL in short) in computer education through organizing teaching experiments. Making full use of student's computer-oriented information technology in PBCL has more advantages than applying it to other subjects. Only by wholly expressing its advantages, adopting the right way, designing...
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