Live nuggets extractor: a semi-automated system for text extraction and test collection creation

Matthew Ekstrand-Abueg, Virgil Pavlu, J. Aslam
{"title":"Live nuggets extractor: a semi-automated system for text extraction and test collection creation","authors":"Matthew Ekstrand-Abueg, Virgil Pavlu, J. Aslam","doi":"10.1145/2484028.2484211","DOIUrl":null,"url":null,"abstract":"The Live Nugget Extractor system provides users with a method of efficiently and accurately collecting relevant information for any web query rather than providing a simple ranked lists of documents. The system utilizes an online learning procedure to infer relevance of unjudged documents while extracting and ranking information from judged documents. This creates a set of judged and inferred relevance scores for both documents and text fragments, which can be used for test collections, summarization, and other tasks where high accuracy and large collections with minimal human effort are needed.","PeriodicalId":178818,"journal":{"name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2484028.2484211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The Live Nugget Extractor system provides users with a method of efficiently and accurately collecting relevant information for any web query rather than providing a simple ranked lists of documents. The system utilizes an online learning procedure to infer relevance of unjudged documents while extracting and ranking information from judged documents. This creates a set of judged and inferred relevance scores for both documents and text fragments, which can be used for test collections, summarization, and other tasks where high accuracy and large collections with minimal human effort are needed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Live掘金提取器:用于文本提取和测试集合创建的半自动化系统
Live Nugget Extractor系统为用户提供了一种有效而准确地收集任何网络查询相关信息的方法,而不是提供简单的文档排名列表。该系统利用在线学习程序来推断未被判断的文档的相关性,同时从被判断的文档中提取信息并对其进行排序。这将为文档和文本片段创建一组判断和推断的相关性分数,这些分数可用于测试收集、摘要和其他任务,在这些任务中,需要最少的人力来进行高精度和大型收集。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Search engine switching detection based on user personal preferences and behavior patterns Workshop on benchmarking adaptive retrieval and recommender systems: BARS 2013 A test collection for entity search in DBpedia Sentiment analysis of user comments for one-class collaborative filtering over ted talks A document rating system for preference judgements
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1