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Automatic Evaluation of Summaries Using N-Gram Co-occurrence Statistics

by: Chin-Yew Lin, and Eduard Hovy
In: Proc. HLT-NAACL (2003) , p. 8 pages.
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Abstract

Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for evaluating summaries. The results show that automatic evaluation using unigram co-occurrences between summary pairs correlates surprising well with human evaluations, based on various statistical metrics; while direct application of the BLEU evaluation procedure does not always give good results.

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