2004 · 8.3K citations · 10 references
ComputingComputer ScienceComputational LinguisticsNatural Language ProcessingText AnalyticsData SummarizationDocument AnalysisText GenerationText SummarizationAutomatic Summarization EvaluationDocument SummarizationDocument UnderstandingHuman Evaluation Of SummariesSummarization DatasetsSummarization EvaluationSummarization Quality Evaluation
ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It includes measures to automatically determine the quality of a summary by comparing it to other (ideal) summaries created by humans. The measures count the number of overlapping units such as n-gram, word sequences, and word pairs between the computer-generated summary to be evaluated and the ideal summaries created by humans. This paper introduces four different ROUGE measures: ROUGE-N, ROUGE-L, ROUGE-W, and ROUGE-S included in the ROUGE summarization evaluation package and their evaluations. Three of them have been used in the Document Understanding Conference (DUC) 2004, a large-scale summarization evaluation sponsored by NIST. 1
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Kishore Papineni, Salim Roukos, Todd J. Ward et al. · 2001 · 21.5K citations · Full text
Adhi Harmoko S, M.Komp, Joseph Marie Jacquard et al. · 2005 · 18.4K citations
V. J. Rayward‐Smith, Thomas H. Cormen, Charles E. Leiserson et al. · Journal of the Operational Research Society · 1991 · 17K citations