Beyond keywords: Automated question answering on the web

被引:9
|
作者
Roussinov, Dmitri [1 ]
Fan, Weiguo [2 ]
Robles-Flores, Jose [3 ]
机构
[1] Univ Strathclyde, Dept Comp & Informat Sci, Glasgow, Lanark, Scotland
[2] Virginia Polytech Inst & State Univ, Blacksburg, VA 24061 USA
[3] ESAN Univ, Sch Business, Lima, Peru
关键词
D O I
10.1145/1378727.1378743
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Online advertising portal Ask.com has introduced a completely automated open-domain question answering (QA) on the Web, to locate, extract, and provide specific answers to user questions expressed in natural language. The distinctions of QA from fixed closed domain include existence of simpler variants, expectations of context, and speed. ASU QA matches the question to one of the trained regular expressions, while NSIR and ASU QA uses only a few grammatical and semantic categories and fine-tuned taxonomies. QA is also able to locate potentially malevolent online content, helping law-enforcement and public oversight groups combat the proliferation of materials that threaten cybersecurity or promote terrorism. Various objectives of Web QA systems include increasing traffic volume and visibility online to generate maximum potential advertising and demonstrating innovative ideas in certain unexplored fields of research.
引用
收藏
页码:60 / 65
页数:6
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