{"title":"A text summarizer based on meta-search","authors":"A. Mohamed, S. Rajasekaran","doi":"10.1109/ISSPIT.2005.1577177","DOIUrl":null,"url":null,"abstract":"Text summarization is an important problem since it has numerous applications. This problem has been extensively studied and many approaches have been proposed in the literature for its solution. In this paper, we investigate a new approach that employs meta-search. In particular, summaries from several summarizers are evaluated to identify the best summary. To the best of our knowledge, this is the first work that employs meta-search in the context of text summarization. We have employed data from Document Understanding Conference 2002 (DUC-2002) and 5 different summarizers in our experiments","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Text summarization is an important problem since it has numerous applications. This problem has been extensively studied and many approaches have been proposed in the literature for its solution. In this paper, we investigate a new approach that employs meta-search. In particular, summaries from several summarizers are evaluated to identify the best summary. To the best of our knowledge, this is the first work that employs meta-search in the context of text summarization. We have employed data from Document Understanding Conference 2002 (DUC-2002) and 5 different summarizers in our experiments
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