计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
14期
129-131
,共3页
自动文摘%搜索引擎%汉宁窗
自動文摘%搜索引擎%漢寧窗
자동문적%수색인경%한저창
automatic summarization%search engine%Hanning window
聚焦查询的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.
聚焦查詢的函數計算句子重要度,以體現問題與預期答案中的詞密度特性.通過窗口從頭到尾滑動來計算句子的權值選擇齣權值高的作為文摘.實驗結果錶明該方法形成的文摘優于Google文摘.
취초사순적함수계산구자중요도,이체현문제여예기답안중적사밀도특성.통과창구종두도미활동래계산구자적권치선택출권치고적작위문적.실험결과표명해방법형성적문적우우Google문적.
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 acceunt.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.