Machine Learning & Data Science Natural Language Processing ROUGE Score
The ROUGE (Recall-Oriented Understudy for Gisting Evaluation) score is a metric used in natural language processing to evaluate the quality of automatically generated summaries or translations. It measures the similarity between the generated summary and a set of reference summaries.
There are a number of variations of this score.
The ROUGE-N Score is a variation on the ROUGE score which calculates the overlap between N-grams in the reference summary and the generated summary.
The Machine-Learning-&-Data-Science-Natural-Language-Processing-BLEU-Score and ROUGE-N scores can be combined to produce an F1 score:
