A possible direction of research is to investigate multilabel learning techniques for structured data (Mc-Donald et al., 2005a) that learn a scoring function separating a set of valid answers from all invalid answers.
if a sentence has multiple valid compressions we can learn to score each valid one higher than all invalid compressions during training to avoid this problem.