Compared to our model, they show much lower correlation scores (their best model achieves 0.399 Pearson's r on the SemEval2007 dataset), although these are not strictly comparable since they use different data splits and do not perform cross-validation.
their approach is orthogonal to ours: combining the Matérn kernels within a multi-task GP framework can be a promising avenue for future work.