April 2018
Intermediate to advanced
334 pages
10h 18m
English
ROUGE stands for Recall Oriented Understudy for Gisting Evaluation. It is also a metric for evaluating sequential models in NLP especially automatic text summarization and machine translation. ROUGE was proposed by CY Lin in the research publication named ROUGE: A Package for Automatic Evaluation of Summaries (http://www.aclweb.org/anthology/W04-1013) in 2004.
ROUGE also works by comparing the machine-generated output(automatic summaries or translation) against a set of human-generated references.
Let's consider the following example:
Therefore, precision and recall in the context of ROUGE is shown as follows: