As the semi-supervised learning method, we employed the hybrid generative/discriminative approach (MHLE), because this method has been reported to be robust even when the labeled and test data were very different as in the Japanese WSD task, which came from heterogeneous corpus.
in this step MHLE achieved a good improvement (82.8 %), even when using only given training data as labeled data.