Before revision:  Negative statements would be important to overcome current limitations of question answering, yet due to their potential abundance , any effort towards compiling them needs a tight coupling with ranking . We introduce two approaches towards compiling negative statements. (i) In peer-based statistical inferences,we compare entities with highly related entities in order to derive potential negative statements, which we then rank using supervised and unsupervised features.
After revision:  Negative statements would be important to overcome current limitations of question answering, yet due to their potential abundance , any effort to compile them needs to address ranking by saliency. We present a statistical inference method for compiling and ranking negative statements,based on expectations from positive statements of related entities in order to derive potential negative statements, which we then rank using supervised and unsupervised features.