Conformal Prediction for Natural Language Processing

Natural language processing (NLP) grapples with the complexities of human language, where uncertainty is an inherent challenge. As NLP models become integral to risk-sensitive and critical applications, ensuring their reliability is paramount. Conformal prediction emerges as a promising technique, offering a way to quantify the trustworthiness of these models’ predictions, particularly when faced with miscalibrated outputs from deep learning models.

In this chapter, we will navigate the NLP conformal prediction world, understand its significance, and learn how to harness its power for more reliable and confident predictions.

In this chapter, we’re going to cover the following main topics: ...

Get Practical Guide to Applied Conformal Prediction in Python 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.