%0 Journal Article
%T AnswerSeeker: Question Answering System Based on Web Mining<br>AnswerSeeker:基于互联网挖掘的智能问答系统
%A YIN Hong-Zhi
%A ZHANG Fan
%A DING Ding
%A ZHAO Bin
%A <br>阴红志
%A 张帆
%A 丁鼎
%A 赵斌
%J 计算机系统应用
%D 2010
%I 
%X This paper describes the AnswerSeeker question answering engine, a modular and extensible framework that allows integrating multiple approaches to question answering in one system. It supports the two major approaches to question answering, knowledge annotation and knowledge mining. In addition, it proposes one novel approach to question interpretation which abstracts from the original formulation of the question. Text patterns are used to interpret a question and to extract answers from text snippets. Our system automatically learns the patterns for answer extraction, using question-answer pairs as training data. Experimental results reveal the potential of AnswerSeeker.
%K Web mining
%K knowledge mining
%K knowledge annotation
%K pattern learning
%K question answering<br>互联网挖掘
%K 知识挖掘
%K 知识诠释
%K 模式学习
%K 智能问答
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=73EF4A4A5A7AB983DA00B09102F6DE90&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=B31275AF3241DB2D&eid=BCA2697F357F2001&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9