We empirically compare the two approaches by proposing a novel method for type-supervised domain adaptation of a discriminate tagging model, showing that it can be a favourable choice in practical situation.
we split Chinese words into domain-independent and domain-specific categories, and define unlexicalized features for domain-specific words.