{"title":"Study on Chinese Text Summarization Based on Extracting Sentences from Subtopics","authors":"Xinlai Tang","doi":"10.1109/WCSE.2009.474","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new method for Chinese text summarization. First, the document is segmented into several units in terms of the subtopics in the document. Then, the most representative sentences in each subtopic unit are selected as the summary sentences. By analyzing semantic structure of the documents first, the summary sentences are not redundancy and the coverage of each subtopic is balanced. Experimental results show that our approach is effective and efficient, and performance of the system is reliable.","PeriodicalId":331155,"journal":{"name":"2009 WRI World Congress on Software Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 WRI World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2009.474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we propose a new method for Chinese text summarization. First, the document is segmented into several units in terms of the subtopics in the document. Then, the most representative sentences in each subtopic unit are selected as the summary sentences. By analyzing semantic structure of the documents first, the summary sentences are not redundancy and the coverage of each subtopic is balanced. Experimental results show that our approach is effective and efficient, and performance of the system is reliable.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
