Question Answering System Using Web Snippets

被引:0
作者
Menaha, R. [1 ]
Surya, Udhaya A. [1 ]
Nandhni, K. [1 ]
Ishwarya, M. [1 ]
机构
[1] Dr Mahalingam Coll Engn & Technol, IT Dept, Pollachi, India
来源
2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC) | 2017年
关键词
Question Answering system; Natural language Processing; Information Retrieval;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Question Answering System (QAS) is an information retrieval technique which provides descriptive answer for the given question rather than web links. QAS has many applications like retrieving information from the web, online examination, education, health care, sports, geography, etc. The search engines like Google, Yahoo provides list of web links as the results for the given query. But the web searcher is interested in direct answer. To discourse this problem, this paper provides a solution to provide direct answer for the given question through web snippets. Question preprocessing, Web Pages extractions, Snippets Extraction and Answer Identification are the processes involved in this proposed system. For Experimental purpose, the Google pages for sports and agriculture related questions were extracted and expected answer is provided through our proposed system with high accuracy.
引用
收藏
页码:387 / 390
页数:4
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