关键词: 自动文摘, 向量空间模型, 段落相似度, 主题划分

Abstract: Topic partition is a significant problem during text structuring in automatic abstracting system.VSM was established for the whole article based on paragraph,and then algorithms for multi-topic text partitioning based on sequential paragraphic similarity were proposed.It solved the problem of chapter structural analysis in multi-topic article and made the abstract of the multi-topic to have more general content and more balanced structure.Experiments on close test show that the precision of topic partition for multi-topic text and single-topic text reaches 92.4% and 99.1% respectively.

Key words: automatic abstraction, VSM, paragraphic similarity, topic partition