The Rouge Score (Recall-Oriented Understudy For Gisting Evaluation)
A set of metrics used to evaluate the quality of document translation and summarization models by measuring the overlap between a system-generated summary or translation and a set of human-created reference summaries or translations using various techniques like n-gram co-occurrence statistics, word overlap ratios, and other similarity metrics.
Areas of application
- Natural Language Processing
- Machine Translation
- Text Summarization
- Information Retrieval
- Speech Recognition
- Chatbot Development
- Content Management Systems
- Sentiment Analysis
Example
For instance, a ROUGE Score of 0.8 indicates that the system-generated summary has an 80% similarity with the reference summaries.