文章基本信息

标题：Rule Extraction for Automatic Question Answering Based on Structural Clustering
作者：Shen Song ; Yu-N Cheah ; Enya Kong Tang 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：3
页码：208-215
出版社：International Journal of Computer Science and Network Security
摘要：Automatic question answering (QA) is playing an increasingly important role in intelligent answer searching. Many approaches have been employed for retrieving answers to natural language questions with rule-based approach being one of them. Traditionally, rules for automatic QA have been generated manually which may be time consuming and limited in scope. To address this issue, we present a proposed automatic rule extraction approach to generate rules for QA from training data via structural clustering.
关键词：Automatic question answering; rule extraction; structural clustering