ROUGE (metric)

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ROUGE, or Recall-Oriented Understudy for Gisting Evaluation,[1] is a set of metrics and a software package used for evaluating automatic summarization and machine translation software in natural language processing. The metrics compare an automatically produced summary or translation against a reference or a set of references (human-produced) summary or translation.

Metrics[edit]

The following five evaluation metrics[2] are available.

  • ROUGE-N: Overlap of N-grams[3] between the system and reference summaries.
    • ROUGE-1 refers to the overlap of 1-gram (each word) between the system and reference summaries.
    • ROUGE-2 refers to the overlap of bigrams between the system and reference summaries.
  • ROUGE-L: Longest Common Subsequence (LCS)[4] based statistics. Longest common subsequence problem takes into account sentence level structure similarity naturally and identifies longest co-occurring in sequence n-grams automatically.
  • ROUGE-W: Weighted LCS-based statistics that favors consecutive LCSes .
  • ROUGE-S: Skip-bigram[5] based co-occurrence statistics. Skip-bigram is any pair of words in their sentence order.
  • ROUGE-SU: Skip-bigram plus unigram-based co-occurrence statistics.

See also[edit]

References[edit]

External links[edit]