Chapter 14: Fundamentals of Model Measurement

14.1. Introduction to Model Measurement

14.2. Use of a Gold Standard Corpus

14.3. Setup of a Gold Standard Corpus

14.4. Setup of Approximate Annotations

14.5. Creation of Samples for Development and Testing

14.6. Model Quality and Decisions

14.6.1. Strategies for Overcoming Low Recall

14.6.2. Strategies for Overcoming Low Precision

14.7. Model Monitoring

14.8. Suggested Reading

14.1. Introduction to Model Measurement

Measuring the quality of your models for information extraction (IE) usually means leveraging the metrics of recall, precision, and potentially F-measure as introduced in chapter 1. You may remember that precision is the ratio of the number of correctly labeled spans to the total that ...

Get SAS Text Analytics for Business Applications now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.