Automated Bengali Document Summarization by Collaborating Individual Word & Sentence Scoring

Porimol Chandro, Md. Faizul Huq Arif, Md. Mahbubur Rahman, Md. Saeed Siddik, Mohammad Sayeedur Rahman, Md. Abdur Rahman
{"title":"Automated Bengali Document Summarization by Collaborating Individual Word & Sentence Scoring","authors":"Porimol Chandro, Md. Faizul Huq Arif, Md. Mahbubur Rahman, Md. Saeed Siddik, Mohammad Sayeedur Rahman, Md. Abdur Rahman","doi":"10.1109/ICCITECHN.2018.8631926","DOIUrl":null,"url":null,"abstract":"Bengali documents are increasing on the World Wide Web and it is becoming a overwhelming problem for the increasing large number of web users to reviewing and reduce the information. Many researches have been conducted in the field of Natural Language Processing for English documents and in order to serve with satisfactory accuracy. This research work proposed a simple and powerful extraction based method for summarizing of the Bengali text documents. The system could summarize a single document at a time. The ultimate objective of the proposed methodology helps readers to get summary and insight of the Bengali documents without reading revealing the in-depth details. In the proposed Bengali documents summary generation method there are four features: Preprocessing, Sentence Ranking and Summarization, Combining Parameters for Sentence Ranking, Summary Generator. The results of performance evaluation show that the average scores of Precision, Recall and final scores are 0.80, 0.67, and 0.72 respectively.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st International Conference of Computer and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2018.8631926","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

Bengali documents are increasing on the World Wide Web and it is becoming a overwhelming problem for the increasing large number of web users to reviewing and reduce the information. Many researches have been conducted in the field of Natural Language Processing for English documents and in order to serve with satisfactory accuracy. This research work proposed a simple and powerful extraction based method for summarizing of the Bengali text documents. The system could summarize a single document at a time. The ultimate objective of the proposed methodology helps readers to get summary and insight of the Bengali documents without reading revealing the in-depth details. In the proposed Bengali documents summary generation method there are four features: Preprocessing, Sentence Ranking and Summarization, Combining Parameters for Sentence Ranking, Summary Generator. The results of performance evaluation show that the average scores of Precision, Recall and final scores are 0.80, 0.67, and 0.72 respectively.
自动孟加拉语文档摘要协作个人词和句子评分
万维网上的孟加拉文文件越来越多,越来越多的网络用户审查和减少信息已成为一个压倒性的问题。为了获得满意的准确性,在自然语言处理领域进行了大量的研究。本研究提出了一种简单而强大的基于抽取的孟加拉语文本文档摘要方法。该系统一次可以总结一份文件。所提出的方法的最终目标是帮助读者在不阅读揭示深入细节的情况下获得孟加拉语文件的摘要和见解。在本文提出的孟加拉语文档摘要生成方法中,有预处理、句子排序与摘要、句子排序组合参数、摘要生成器四个特征。绩效评估结果显示,准确率、召回率和最终得分的平均值分别为0.80、0.67和0.72。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信