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L. Kosseim and J. Yousefi, “Improving the Performance of Question Answering with Semantically Equivalent Answer Patterns,” Data & Knowledge Engineering, Vol. 66, No. 1, 2008, pp. 53-67. doi:10.1016/j.datak.2007.07.010

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

  AUTHORS: Yuanchao Liu, Ming Liu, Zhimao Lu, Mingkai Song

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

  JOURNAL NAME: International Journal of Intelligence Science, Vol.2 No.2, April 24, 2012

  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.