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What is ROUGE and how it works for evaluation of summaries?

What is ROUGE and how it works for evaluation of summaries?

ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It is essentially of a set of metrics for evaluating automatic summarization of texts as well as machine translation. It works by comparing an automatically produced summary or translation against a set of reference summaries (typically human-produced). This article provides an intuitive explanation of how ROUGE works. 

rouge2csv – Script to Interpret ROUGE Scores

rouge2csv – Script to Interpret ROUGE Scores

This is a perl script that helps in interpreting ROUGE scores generated by the perl (original) implementation of ROUGE. If you need Instructions on how to set-up ROUGE for evaluation of your summarization tasks go here. Assuming you have piped all your ROUGE results to a file, this tool will collect all rouge scores into separate CSV files depending on the n-grams used. For example, all ROUGE-1 scores will be collected into a ROUGE-1.csv file, similarly all ROUGE-2 scores will…

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