The models proposed by Chao and Dyer (2000) and Ciaramita and Johnson (2000) are not directly applicable to Levin's classification, as the latter is not a hierarchy (and therefore not a DAG) and cannot be straightforwardly mapped into a Bayesian network.
in agreement with Chao and Dyer and Ciaramita and Johnson, we show that prior knowledge about class preferences improves word sense disambiguation performance.