Automated Essay Scoring with Ontology based on Text Mining and NLTK tools

Jennifer O. Contreras, Shadi M. S. Hilles, Zainab Binti Abubakar
{"title":"Automated Essay Scoring with Ontology based on Text Mining and NLTK tools","authors":"Jennifer O. Contreras, Shadi M. S. Hilles, Zainab Binti Abubakar","doi":"10.1109/ICSCEE.2018.8538399","DOIUrl":null,"url":null,"abstract":"One of the common learning activities used in educational levels and disciplines is essay writing. The problems of the essay writing activities are time-consuming, concerns in producing immediate result and/or feedback from teachers to students, and the teachers tend to be subjective in grading the essay activities. The study aims to apply the preliminary approach forautomatically generating the domain concept ontology in essays using OntoGen and applied natural language processing algorithms using NLTK (Natural Language Tool Kit) that enhance the teachers essay grading.","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCEE.2018.8538399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

One of the common learning activities used in educational levels and disciplines is essay writing. The problems of the essay writing activities are time-consuming, concerns in producing immediate result and/or feedback from teachers to students, and the teachers tend to be subjective in grading the essay activities. The study aims to apply the preliminary approach forautomatically generating the domain concept ontology in essays using OntoGen and applied natural language processing algorithms using NLTK (Natural Language Tool Kit) that enhance the teachers essay grading.
基于文本挖掘和NLTK工具的本体自动作文评分
在教育水平和学科中使用的常见学习活动之一是论文写作。论文写作活动存在的问题是耗时,关注产生立竿见影的效果和/或教师对学生的反馈,教师在给论文活动评分时往往很主观。本研究旨在应用OntoGen在论文中自动生成领域概念本体的初步方法,并使用NLTK(自然语言工具包)应用自然语言处理算法来提高教师的论文评分。
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