It is well known that questions are very rare in the WSJ data, and <cite>Rimell et al. (2009)</cite> found that parsers trained only on WSJ data generally performed badly on the questions included in the evaluation corpus, while the C&C parser equipped with a model trained on a combination of WSJ and question data had much better performance.