ROUGE score
#evaluation #summarization #translation
ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is a recall-focused score primarily used for evaluating automatic summarization and, sometimes, machine translation.
The key feature of ROUGE is its focus on recall, measuring how many of the reference n-grams are found in the system-generated summary. This makes it especially useful for tasks where coverage of key points is important.
Among its variants;
- ROUGE-N computes the overlap of n-grams,
- ROUGE-L uses the longest common subsequence to account for sentence-level structure similarity,
- ROUGE-S includes skip-bigram statistics.