Recently, much research focuses on event s- toryline generation, which aims to produce a concise, global and temporal event summary from a collection of articles. Generally, each event contains multiple sub-events and the sto- ryline should be composed by the componen- t summaries of all the sub-events. However, different sub-events have different part-whole relationship with the major event, which is important to correspond to users? interests but seldom considered in previous work. To distinguish different types of sub-events, we propose a mixture-event-aspect model which models different sub-events into local and global aspects. Combining these local/global aspects with summarization requirements to- gether, we utilize an optimization method to generate the component summaries along the...

Click Here to View the Paper In XML Format