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Extracting Knowledge from On-Line Forums for Non-Obstructive Psychological Counseling Q&A System

Extracting Knowledge from On-Line Forums for Non-Obstructive Psychological Counseling Q&A System

作     者:Yuanchao Liu Ming Liu Zhimao Lu Mingkai Song 

作者机构:Information and Communication Engineering College Harbin Engineering University Harbin China School of Computer Science and Technology Harbin Institute of Technology Harbin China 

出 版 物:《International Journal of Intelligence Science》 (智能科学国际期刊(英文))

年 卷 期:2012年第2卷第2期

页      面:40-48页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Knowledge Base Construction Keyword Extraction Q&A System Chatterbot 

摘      要:Psychological counseling Q&A system is enjoying a remarkable and increasing popularity in recent years. Knowledge base is the important component for such kind of systems, but it is difficult and time-consuming to construct the knowledge base manually. Fortunately, there emerges large number of Q&A pairs in many psychological counseling websites, which can provide good source enriching the knowledge base. This paper presents the method of knowledge extraction from psychological consulting Q&A pairs of on-line psychological counseling websites, which include keywords, semantic extension and word sequence. P-XML, which is the knowledge template based on XML, is also designed to store the knowledge. The extracted knowledge has been successfully used in our non-obstructive psychologycal counseling system, called P.A.L., and the experimental results also demonstrated the feasibility and effectiveness of our approach.

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