@inproceedings{Lin:2003,
  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.},
  added-at = {2008-03-12T04:42:41.000+0100},
  author = {Lin, Chin-Yew and Hovy, Eduard},
  biburl = {http://www.bibsonomy.org/bibtex/223b316a5ac5cb3159a24e55b5c6e564d/diego_ma},
  booktitle = {Proc. HLT-NAACL},
  interhash = {10f2313f98bc7f3a178c4f5189386ec7},
  intrahash = {23b316a5ac5cb3159a24e55b5c6e564d},
  keywords = {summarisation evaluation COMP448},
  pages = {8 pages},
  timestamp = {2008-03-12T04:42:41.000+0100},
  title = {Automatic Evaluation of Summaries Using N-Gram Co-occurrence Statistics},
  url = {http://research.microsoft.com/~cyl/download/papers/NAACL2003.pdf},
  year = 2003
}