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The ROUGE (Recall-Oriented Understudy for Gisting Evaluation) score is a metric used to evaluate the quality of machine-generated text, such as summaries and translations. It compares the machine-generated text to a reference or set of references, which are typically human-produced.
ROUGE scores range from 0 to 1, with higher scores indicating greater similarity between the machine-generated text and the reference. A score close to zero indicates poor similarity, while a score close to one indicates strong similarity.
The text was updated successfully, but these errors were encountered:
The ROUGE (Recall-Oriented Understudy for Gisting Evaluation) score is a metric used to evaluate the quality of machine-generated text, such as summaries and translations. It compares the machine-generated text to a reference or set of references, which are typically human-produced.
ROUGE scores range from 0 to 1, with higher scores indicating greater similarity between the machine-generated text and the reference. A score close to zero indicates poor similarity, while a score close to one indicates strong similarity.
The text was updated successfully, but these errors were encountered: