Research Of Sudden Event Information Extraction Of Tracking Reports

Along with the development of technology of information communication, the spreading means of information is changing in the constantly, especially the development and popularization of the Internet as a new media, people’s life have been integrated into the information of the tide of prosperity of society. In order to deal with the social phenomenon of information explosion and information prosperity, corresponding development of the natural language processing technology is in demand, gives great support. Various sudden events frequently occurred in recent years, enormously influenced people’s life, therefore, people to disasters is also more and more high degree of concern, with the occur of each sudden event, there are series of relevant reports of the authoritative medium. Collecting the information for analysis and dispose is helpful not only for the further research and prevention of the sudden events, but also for the people to seize the occur, development, the end of the process and to fire the sudden events fears.Information extraction is extracting the interested information accurately and efficiently from the related documents. Analyzing the research background and significance, development condition, relevant technology of information extraction, most Chinese event extraction only for a document, this paper takes the same event more than a text as the research object and introduces the method of combining pattern matching&statistical learning to resolve the present deficiency of Chinese information extraction and realize the accurate extraction of information.Based on the three kinds of catastrophic track events as the research object, analyzing the gender characteristics of text such as continuity and perspectives between the related reported events, through determine the information extraction template of each type of sudden tracking events, this paper introduces the method of combining pattern matching&statistical learning for information extraction of sudden tracking events, and uses simple semantic reasoning technology for merging the related information of the sudden event, finally the experimental extraction results are showed in chronological order. This paper mainly completed the following several aspects:1. With an emergency text data sets for statistical observations, in-depth analysis of the relationship between the incident news reports of their own characteristics and its follow-up reports and related follow-up, and ultimately find the effective features to support the event information and construct the corresponding event extraction rules to achieve incident related aspects of information extraction and writes into the database.2. For emergency tracking report extracted from the same incident the same information, structure the corresponding semantic reasoning rules to realize the integration of information.3. According to tracking report results appear in the extraction of some anomaly regularity of data, give some comments to explain the situation reasons, formatting the development chain of the information for the sudden event and showing itself in the temporal tracking way.The experimental results show that a preliminary exploration of the information extraction method proposed in this paper for emergency follow-up reports in the same event more than a text extraction, and obtained a certain effect. To efficiently achieve the tracking report information extraction, this research is also not comprehensive, may introduce the relevant Chinese information processing technology and methods for further investigation.