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

• 作者: Ming Liu Mingkai Song Yuanchao Liu Zhimao Lu
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 医学
• 关键词: KNOWLEDGE Base Construction KEYWORD Extraction Q&A SYSTEM Chatterbot
• 年，卷（期）: 2012,（2）
• 页码范围: 40-48
• 页数: 9页
• 分类号: R73

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.