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Nlp Evaluation Benchmarks
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Here, you will be able to learn about the need and different types of evaluation metrics in NLP tasks
Potential Use Cases
To use these evaluation metrics for judging the performance of our model
Who is This For ?
NLP users trying to evaluate models
Click on each of the following
to see details.
1. The Need for Benchmarks
Why do we need evaluation metrics?
What are the different categories for natural language evaluation tasks?
How can data be divided into subsets for proper training and evaluation?
2. The BLEU Metric
What are the pros for the BLEU metric?
Where can BLEU scores be used?
How to calculate BLEU scores using Python and NLTK?
3. The GLUE Metric
What is the need for GLUE?
Where can GLUE scores be used?
How to test models using GLUE?
4. The ROUGE Metric
What is the ROUGE metric?
What are the different types of ROUGE scores?
How to compute ROUGE scores in Python?
5. A Comparison of Various Evaluation Metric
What are the pros and cons of different NLP metrics?