基于特征信息提取的中文自动文摘研究-计算机软件与理论专业论文.docxVIP

⑨ ⑨ 硕士学位论交 MASTER’S THESIS Abstract With high—speed development of modem technology,newspapers，books,scientific Iiterature，etc．in the language as the OalTicr of information have emerged．Especially of the high-speed development of interact,along with the daily emergence of a mass of information,to those from the massive information qmckly and accurately find the information the user needs．Automatic document summary disposal has been increasin酉y concerned about the research topic． Natural language processing as a major area of application of automatic abstracting involves a lot oftheory and application technology．People have dedicated in Automatic abstract for more than 20 years。since slowly development of the related technical level， automatic abstracting system carl not be completely automatic syntax,semantic and contextual analysis．Summary results is indicative areas．Based on current researcll，use statistical methods to detect features in articles，access information of feature articles， establish an automatic abstracting system on this basis can generate a simple,accurate and comprehensive summary SO that usefs Can quickly obtain useful information from the massive information． Based on CnlTent researck we use statistical knowledge，consider the article genre， type，and SCOle words aceording to the characteristics of the article．Design Chinese automatic abstracting system based OU featare information．Studies include the following： (1)The study compares the current automatic abstracting research methods，Based on a statistical analysis ofthe feasibility and scope ofapplication； (2This paper presents a feature-based information extraction Chinese automatic abstracting，Analysis ofthe orie!inal version ofthe feature words and characterisfics， struclure vector space model；By calculating the scntence was all important article and remove redundancy methods，access to summaries ofresults； (3)Based on a design feature information from the Chinese automatic abstracting system；