Exiting Bayesian approaches label sentences or words with topics and sentences which are closely related with query or can highly generalize documents are selected into summaries.
lDA topic model suffers from the intrinsic disadvantages that it only uses word frequency for topic modeling and can not use useful text features such as position, word order etc (Zhu and Xing, 2010).