Beginner · NLP
COPA
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. COPA is a metric measuring the Choice of Plausible Alternatives in NLP tasks.
Technical Definition
COPA is a metric measuring the Choice of Plausible Alternatives in NLP tasks.
How it works
COPA, or Choice of Plausible Alternatives, is an evaluation metric used in Natural Language Processing. It is designed to assess how well a model can choose the more plausible continuation or consequence given a context.
Related Concepts
- Classification — A supervised learning task where the model assigns inputs to discrete categories.