The research on event extraction of Chinese news based on subject elements

Nowadays, with the rapid economic development, the amount of social information is also going up. Facing the daily explosive growth of the news quantity, the audience can difficultly get important information. To this end, the paper puts forward a method of Chinese news event extraction based on subject elements, which mixes the study of news topic sentence extraction and the research of event extraction together. According to the characteristics of news sentence, use dependency parsing to analyze the syntax. With the result of syntactic parsing to be a feature, distinguishably use Conditional Random Field algorithm (CRF) and Manual rules to identify the triggers in complex and simple sentences. Finally, Semantic Role Labeling algorithm (SRL) is used to identify the key elements of news events. What's more, the method will help readers quickly get the key elements from the long news, improving the efficiency of getting message.