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Automatic evaluation of summaries using N-gram co-occurrence statistics

by: Chin Y. Lin, Eduard Hovy
In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1 (2003), pp. 71-78, doi:10.3115/1073445.1073465  Key: citeulike:896890

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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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