AI-Accelerated Product Development
NLP Model Evaluation
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This list provides basic information about metrics relate to NLP model evaluation.
Potential Use Cases
Understand and build NLP models evaluation
Who is This For ?
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1. Extrinsic vs. Intrinsic
It provides a good overview and comparison between the two types of model evaluation.
It explains the basic concept of perplexity which is an important metrics in evaluating NLP models.
It provides a definition of entropy.
4. Cross entropy
It provides clear explaination of entropy and cross entropy and how this loss metrics is used in ML.
5. Relationship between perplexity and entropy
It provides a good explanation of how perplexity and entorpy are related.
6. Metrics for text generation NLP models evaluation
Overview and codes of common evaluation metrics being used in practical examples of text generation models.
7. Metrics for text comparison NLP models evaluation
It provides an overview of common evaluation metrics to compare generated text and target text of NLP models.