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Analyses and Comparisons of Human and Statistic-based MMR Summarizations of Single Documents  

유준현 (전북대학교 전자정보공학부)
변동률 (전북대학교 전자정보공학)
박순철 (전북대학교 전자정보공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.2, 2004 , pp. 43-50 More about this Journal
Abstract
The Statistic-based method is widely used for automatic single document summarization in large sets of documents such as those on the web. However, the results of this method shows high redundancies in the summarized sentences because this method selects sentences including words that frequently appear in the document. We solve this problem using the method MMR to raise the quality of document summary (The best results are appeared around λ=0.6). Also, we compare the MMR summaries with those done by human subjects and verify their accuracy.
Keywords
MMR; Statistic summarization; Text summarization;
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