How do we evaluate NLP models using human feedback?

How do we evaluate NLP models using human feedback?

Evaluating NLP models with human feedback involves collecting user assessments on model outputs to gauge quality.

What specific metrics do we use for this evaluation?

Common metrics include accuracy, fluency, relevance, and user satisfaction ratings.

Can you explain how to gather this feedback effectively?

Effective feedback can be gathered through surveys, user studies, and A/B testing with real users.

What challenges might we face in this evaluation process?

Challenges include bias in feedback, varying user expectations, and the subjective nature of language understanding.