The Research And The Applications Of Automatic Summarization Technology

Along with the advancement of society and technology of the World Wide Web is developing, the information of the network is growing exponentially, society is facing exploding of the information nowadays. When the large volume of information emerge people like tidewater, it is too deficiency to use tradition human professional to dispose the information. In order to resolve this problem, the science domain advance the technology of text Automatic Summarization.Automatic Summarization usually is regarded as a item task of nature language. Summarization can express a certain article's center content accurately and whole, it is composed by some succinct and coherent sentences. Compare with index, summarization can satisfy the request of information-obtained. Researching the technology of automatic summarization of our country is in a elementary phase yet, but the significant function of this technology cannot underestimate, and it must be extensively used in future information disposal domain.Aiming at the present situation, this paper uses statistical nature language disposal method, it carrys out automatic participle firstly, uses cease word list to filtrate the result of automatic participle, and obtains the conception by using HowNet, to establish the conceptual vector space model. By carrying out the weight of word and sentence, system can get a summary abstract. And it accounts the redundancy to obtain this paper's summarization finally.This paper bases on the research above-mentioned, it devises a system of automatic summarization based on conceptual vector space model, it realizes computer automatic summarization's function of every module. And this paper approves that basing on conceptual statistical method is better than word frequency statistical method, it can contain original text center content more exactly.