Abstract: Query-focused summarization laid emphasis on user’s concern in the document.An approach to query-focused automatic summarization is presented.It utilizes search engine as tool for seeking answer.The importance of each sentence is computed by the Hanning window to take the density of words contained in the question and prospective answering account.Summarize a document　by selecting the sentences with high weights as computed by moving a window from the beginning to the end of the document.Experimental results show that the summarization is better than Google’s.

Key words: automatic summarization, search engine, Hanning window

摘要：

聚焦查询的文摘把重点放在文档中用户关心的内容。聚焦查询的自动文摘方法以搜索引擎为问题查询工具，利用汉宁窗函数计算句子重要度，以体现问题与预期答案中的词密度特性。通过窗口从头到尾滑动来计算句子的权值选择出权值高的作为文摘。实验结果表明该方法形成的文摘优于Google文摘。

关键词: 自动文摘, 搜索引擎, 汉宁窗