In this paper, we propose a approach to automatic generation of aspect-oriented summary from given newswire articles. We first develop an event-aspect LDA model to simultaneously cluster both sentences and words into aspects. We then combine them in Integer Linear Programming Framework for sentence selection. Key features of our method include automatic grouping of semantically related sentences and sentence compression on dependency tree. Although quantitative evaluation shows our method below average level, we still believe that this is one way towards to solve this problem. 