News-summarization Extraction Method Based on Weighted Event Elements Strategy
Guo Yan-qin · 2016
To facilitate the readers' fast understanding of the contexts of news events,this paper analyzed the effect of event elements on the summarization generation,and by combining the character of news evolution along the timeline proposed a news-summarization extraction method based on weighted event elements strategy.The transition probability matrix is improved by weighting the event elements,which turns out to be effective in extracting the news timeline summarization.By this way,the generated summarization contains more details of the news elements,whilst becomes more readable to readers.Experimental results demonstrate the superiority of the proposed algorithm.