Search

Search IconIcon to open search

ROUGE

Last updatedUpdated: by Jakub Žovák · 1 min read

Properties
created Empty
modified 28.02.2026, 17:23
published Empty
sources Empty
topics ROUGE, N-gram Metrics, Summarization Evaluation
authors Empty
ai-assisted No

# Definition

$$ \text{ROUGE-N} = \frac{\sum_{S \in \{\text{Reference summaries}\}} \sum_{\text{gram}_n \in S} \text{Count}_{\text{match}}(\text{gram}_n)}{\sum_{S \in \{\text{Reference summaries}\}} \sum_{\text{gram}_n \in S} \text{Count}(\text{gram}_n)} $$


Or we can write it as an N-gram recall:

$$ \frac{\text{Total matching N-grams}}{\text{Total N-grams}} $$

# Types of ROUGE:

  • ROUGE-1: Words (tokens)
  • ROUGE-2: Bigrams
  • ROUGE-L: Longest common subsequence
  • ROUGE-Lsum: Summary-level ROUGE-L