H. Alam, Aman Kumar, Mikako Nakamura, F. Rahman, Yuliya Tarnikova, C. Wilcox
{"title":"Structured and unstructured document summarization:design of a commercial summarizer using Lexical chains","authors":"H. Alam, Aman Kumar, Mikako Nakamura, F. Rahman, Yuliya Tarnikova, C. Wilcox","doi":"10.1109/ICDAR.2003.1227836","DOIUrl":null,"url":null,"abstract":"The process of summarizing documents is becomingincreasingly important in the light of recent advances indocument creation/distribution technology, and theresulting influx of large numbers of documents in everyday life. This paper presents a document summarizer thatcombines document analysis, structural decomposition,XML representation and lexical chain analysis. Theproposed summarizer is compared to three commerciallyavailable summarizers and it is shown that it produceseither comparable or better summaries overall.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39
Abstract
The process of summarizing documents is becomingincreasingly important in the light of recent advances indocument creation/distribution technology, and theresulting influx of large numbers of documents in everyday life. This paper presents a document summarizer thatcombines document analysis, structural decomposition,XML representation and lexical chain analysis. Theproposed summarizer is compared to three commerciallyavailable summarizers and it is shown that it produceseither comparable or better summaries overall.