2005 · 263 citations · 19 references
ComputingComputer ScienceComputational LinguisticsNatural Language ProcessingText AnalyticsData SummarizationText SummarizationWord Frequency EffectsContextContextual SummarizationDocument SummarizationMulti-document SummarizationSentence Importance EstimationSummarizationSummarization EvaluationSummarization Systems
Most multi-document summarizers utilize term fre-quency related features to determine sentence im-portance. No empirical studies, however, have been carried out to isolate the contribution made by frequency information from that of other features. Here, we examine the impact of frequency on var-ious aspects of summarization and the role of fre-quency in the design of a summarization system. We describe SumBasic, a summarization system that exploits frequency exclusively to create sum-maries. SumBasic outperforms many of the sum-marization systems in DUC 2004, and performs very well in the 2005 MSE evaluation, confirm-ing that frequency alone is a powerful feature in summary creation. We also demonstrate how a frequency-based summarizer can incorporate con-text adjustment in a natural way, and show that this adjustment contributes to the good performance of the summarizer and is sufficient means for duplica-tion removal in multi-document summarization. 1
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The PageRank Citation Ranking : Bringing Order to the Web
Lawrence M. Page, Sergey Brin, Rajeev Motwani et al. · 1999 · 12.7K citations
ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin · 2004 · 8.3K citations
A trainable document summarizer
Julian Kupiec, Jan Pedersen, Francine Chen · 1995 · 1.3K citations · Full text