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CiteSeerX — MMI Diversity Based Text Summarization
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The search for interesting information in a huge data collection is a tough job frustrating the seekers for that information. The automatic text summarization has come to facilitate such searching process. The selection of distinct ideas “diversity ” from the original document can produce an appropriate summary.
CiteSeerX — ~aculty ofScience and Technology,
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: Diversity of selected sentences is an important factor in automatic text summarization to control redundancy in the summarized text. In this paper, we propose a method called maximal marginal importance (MMI) for text summarization based on the idea of the well-known diversity approach maximal marginal ......
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