Combined Features to Maximal Marginal Relevance Algorithm for Multi-document Summarization

Zhigang Zhou

doi:10.4156/jcit.vol6.issue5.34

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JOURNAL ARTICLE

Combined Features to Maximal Marginal Relevance Algorithm for Multi-document Summarization

Zhigang Zhou

Year: 2011 Journal: Journal of Convergence Information Technology Vol: 6 (5)Pages: 298-304 Publisher: Advanced Institute of Convergence Information Technology Research Center

DOI: 10.4156/jcit.vol6.issue5.34

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Keywords:

Automatic summarization Relevance (law) Computer science Information retrieval Algorithm Multi-document summarization Artificial intelligence Political science

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Topics

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Combined Features to Maximal Marginal Relevance Algorithm for Multi-document Summarization

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Citation History

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