Classification of agricultural questions based on rule templates and SVM in Chinese

摘要：

The question classification is important for QA system. This paper designed Classification of agricultural questions based on rule templates and SVM in Chinese. The question classification system of automatic QA system severing AFR is constructed using the classification system of open domain and the agricultural knowledge. We consider Wh-word, the agricultural concept cluster and the original meanings in HowNet as classification features, calculate characteristic value by the information entropy and design the algorithm of a template-based coarse classification and the algorithm of fine classification SVM-based. The experiments show that the feature vector and classification method in this part can effectively meet the demand.

关键词： Classification of agricultural questions SVM Rule templates Agricultural question classification system

作者: Zhang Junliang Zhu Xuefang Zhu Guang

作者单位: Management Institute, Xinxiang Medical University, Xinxiang 453003. China School of Information Mana School of Information Management, Nanjing University, Nanjing 210093,China

会议类型: 国际会议

会议名称: The 7th International Conference Cooperation and Promotion of Information Resources in Science and Technology(第七届科技信息资源共享促进国际会议 )

会议地点: 南京

会议语种:英文

页码: 1-15

在线出版日期: 2012-11-23（万方平台首次上网日期，不代表论文的发表时间）