胭脂
自动汇总
NIST公司
计算机科学
自然语言处理
理想(伦理)
词(群论)
人工智能
情报检索
数学
哲学
几何学
认识论
出处
期刊:Meeting of the Association for Computational Linguistics
日期:2004-07-25
卷期号:: 74-81
被引量:7904
摘要
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.
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