Identification of Topic Sentence about Key Event in Chinese News
Zhao Wei · Beijing Daxue Xuebao. Zirankexueban · 2011
The authors propose an approach to extract topic sentences that describe key event from a news article.Considering the special structure of news articles,the relations between news articles and key events reported in them is studied,as well as the characteristics of a news headline in three aspects: information,form and language.A novel method based on the information aspect of a headline is used to extract a topic sentence which contains the key event information from a news story.The method first classifies a news headline as informative or non-informative,and then considers text and semantic features of a sentence,such as word frequency,sentence length,location in the text and word co-concurrency with the headline,to evaluate the importance for each sentence and select the most important one as the topic sentence.Experiment results show that this method can identify a topic sentence accurately and the proposed approach makes a good preparation for event information extraction.