Study on Question-Answering System Based on Meta Search Engine

摘要：

Meta search engine which can provide rich information is obviously an ideal source of answers to many types of questions. This paper describes a question answering system based on web, and puts forward to a new method to search information based on Meta search engine and new word discovery. In the information retrieval module, N-gram model and web pages which get from search engine are used to find new words. Experiments show that the addition of new words discovery not only greatly improves the precision of documents retrieval in the module of information retrieval, but also improves the accuracy of answer extraction.

关键词： question-answering system meta search engine information retrieval answer extraction new word discovery

作者: Feijuan Li Haiyan Kang Yangsen Zhang Wenjie Su

作者单位: Computer School Beijing Information Science & Technology University Beijing, China School of Information Management Beijing Information Science & Technology University Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 354-357

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）