Optimized Event Storyline Generation based on Mixture-Event-Aspect Model
Lifu Huang, Lian’en Huang · 2013
Recently, much research focuses on event storyline 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 storyline should be composed by the component 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 together, we utilize an optimization method to generate the component summaries along the timeline.We develop experimental systems on 6 distinctively different datasets.Evaluation and comparison results indicate the effectiveness of our proposed method.