2004 ROUGEAPackageforAutomaticEvalua

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Subject Headings: ROUGE.

Notes

Cited By

Abstract

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.

References

BibTeX

@inproceedings{2004_ROUGEAPackageforAutomaticEvalua,
    title = {ROUGE: A Package for Automatic Evaluation of Summaries},
    author = {Chin-Yew Lin}",
    booktitle = {Text Summarization Branches Out},
    month = {July},
    year = {2004},
    address = {Barcelona, Spain},
    publisher = {Association for Computational Linguistics},
    url = {https://www.aclweb.org/anthology/W04-1013},
    pages = {74--81},
}


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 ROUGEAPackageforAutomaticEvaluaChin-Yew LinRouge: A Package for Automatic Evaluation of Summaries2004