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The Ultimate Performance Metric in NLP

jamescalam profile image James Briggs ・1 min read

Measuring the results of our model outputs gets a lot more complex when we’re dealing with language.

This is something that becomes quite clear very quickly for many NLP-based problems — how do we measure the accuracy of a language-based sequence when dealing with language summarization or translation?

For this, we can use Recall-Oriented Understudy for Gisting Evaluation (ROUGE). Fortunately, the name is deceptively complicated — it’s incredibly easy to understand, and even easier to implement.

Let’s jump straight into it.

Contents

  • What is ROUGE
    • ROUGE-N
    • Recall
    • Precision
    • F1 Score
    • ROUGE-L
    • ROUGE-S
    • Cons
  • In Python
    • For Datasets

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