标题：A Sentence Similarity Algorithm Based on Weighted Keyword Tree
作者机构：[Yu, Tiantian] Shandong Univ Finance & Econ, Jinan 250014, Peoples R China.
会议名称：2nd International Conference on Social Science and Health (ICSSH)
会议日期：MAY 31-JUN 01, 2014
来源：2014 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND HEALTH (ICSSH 2014), PT 2
关键词：Sentence Similarity Classification; Keyword Tree; Sentence Similarity
摘要：In this paper, we present a new algorithm to compute the similarity of Chinese sentences based on weighted keyword tree. The key aspect of algorithm implementation, include establishment of keyword tree, sentence similarity. This algorithm is unique in that the establishment and storage of keyword tree. Keyword tree is represented by tree data structure, and we present an algorithm that is analogous binary tree brother children linked list to store tree. Test result shows that compared with traditional sentence similarity algorithm, this algorithm has more precision in matching question.