McClosky, Charniak, and Johnson (2010) use classifiers from multiple source domains and features that describe how much a target document diverges from each source domain to determine an optimal weighting of the source-domain classifiers for parsing the target text.
it is unclear if this "source-combination" technique works well on domains that are not mixtures of the various source domains.