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

Yuanchao Liu, Ming Liu, Zhimao Lu, Mingkai Song

Information and Communication Engineering College, Harbin Engineering University, Harbin, China.
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.

DOI: 10.4236/ijis.2012.22006                

Abstract

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.

Keywords

Knowledge Base Construction; Keyword Extraction; Q&A System; Chatterbot

Conflicts of Interest

The authors declare no conflicts of interest.

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