Towards an open question answering architecture

Edgard Marx, Ricardo Usbeck, A. N. Ngomo, Konrad Höffner, Jens Lehmann, S. Auer
{"title":"Towards an open question answering architecture","authors":"Edgard Marx, Ricardo Usbeck, A. N. Ngomo, Konrad Höffner, Jens Lehmann, S. Auer","doi":"10.1145/2660517.2660519","DOIUrl":null,"url":null,"abstract":"Billions of facts pertaining to a multitude of domains are now available on the Web as RDF data. However, accessing this data is still a difficult endeavour for non-expert users. In order to meliorate the access to this data, approaches imposing minimal hurdles to their users are required. Although many question answering systems over Linked Data have being proposed, retrieving the desired data is still significantly challenging. In addition, developing and evaluating question answering systems remains a very complex task. To overcome these obstacles, we present a modular and extensible open-source question answering framework. We demonstrate how the framework can be used by integrating two state-of-the-art question answering systems. As a result our evaluation shows that overall better results can be achieved by the use of combination rather than individual stand-alone versions.","PeriodicalId":344435,"journal":{"name":"Joint Conference on Lexical and Computational Semantics","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Conference on Lexical and Computational Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2660517.2660519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53

Abstract

Billions of facts pertaining to a multitude of domains are now available on the Web as RDF data. However, accessing this data is still a difficult endeavour for non-expert users. In order to meliorate the access to this data, approaches imposing minimal hurdles to their users are required. Although many question answering systems over Linked Data have being proposed, retrieving the desired data is still significantly challenging. In addition, developing and evaluating question answering systems remains a very complex task. To overcome these obstacles, we present a modular and extensible open-source question answering framework. We demonstrate how the framework can be used by integrating two state-of-the-art question answering systems. As a result our evaluation shows that overall better results can be achieved by the use of combination rather than individual stand-alone versions.
朝向一个开放的问题回答架构
与众多领域相关的数十亿事实现在都以RDF数据的形式出现在Web上。然而,对于非专业用户来说,访问这些数据仍然是一项困难的努力。为了改善对这些数据的访问,需要对其用户施加最小障碍的方法。尽管已经提出了许多基于关联数据的问答系统,但检索所需数据仍然具有很大的挑战性。此外,开发和评估问答系统仍然是一项非常复杂的任务。为了克服这些障碍,我们提出了一个模块化和可扩展的开源问答框架。我们将演示如何通过集成两个最先进的问答系统来使用该框架。因此,我们的评估表明,使用组合而不是单独的单独版本可以获得更好的总体结果。
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