Some researches (Heilman and Smith, 2010;Figueroa and Neumann, 2013) directly trained question ranking (QR) models via supervised learning, and used it to perform evaluation.
these models are always domainspecific and not interpretable since we cannot tell what makes a question get a high (low) score.