关键词密度分布法在偏重摘要中的应用研究

偏重摘要系统是实现智能化信息服务的基础，偏重摘要不区分单文档与多文档，根据用户需求为用户提供结果。该文实现了用关键词密度分布方法获取偏重摘要的一个实验系统。研究了基于关键词密度分布方法生成摘要句的策略，通过两种不同的实验，对系统进行了评测。对实验结果进行了讨论。实验证明，该系统能够基本满足用户的查询要求，在基于检索任务和基于问答任务的两项不同的评测中均得到了较好的实验结果。

Research on Application of Density Distribution of Keywords in Biased Summarization

The study and implementation of biased summarization system is the basis of intelligent information service. The biased summarization can process the single document summarization and multi-document summarizations, so it is considered as a useful tool to meet users’ demands. The summarization approach is presented which is based on the density distribution of keywords. The conceptual expansion is applied to get more synonymies. The strategy of extracting sentences is discussed based on the density distribution of keywords. The summarization approach shows its high efficiency and high precision under the two evaluations, one is based on information retrieval(IR) and another is based on question &; answering(QA).