Study on Topic Partition in Automatic Abstracting System
Chen Qun-xiu · Zhongwen xinxi xuebao · 2005
With the development of network,electronic text grows rapidly.Since automatic abstraction is superior to manual abstraction for its speed,convenience,efficiency,and impersonality.It has wide applications and such research is becoming a hot topic.Topic partition is a significant problem during text structuring in automatic abstracting system.The paper establishes vector space model for the whole article based on paragraph,then proposes an algorithm for multi-topic text partitioning based on sequential paragraphic similarity.It solves the problem of chapter structural analysis in multi-topic article and makes the abstract of the multi-topic to have more general content and more balanced structure. The experiment on close test shows that the precision of topic partition for multi-topic text and single-topic text reach 92.2% and 99.1% respectively.