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  • 标题:Extracting Knowledge from On-Line Forums for Non-Obstructive Psychological Counseling Q&A System
  • 本地全文:下载
  • 作者:Yuanchao Liu ; Ming Liu ; Zhimao Lu
  • 期刊名称:International Journal of Intelligence Science
  • 印刷版ISSN:2163-0283
  • 电子版ISSN:2163-0356
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:40-48
  • DOI:10.4236/ijis.2012.22006
  • 出版社:Scientific Research Publishing
  • 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.
  • 关键词:Knowledge Base Construction; Keyword Extraction; Q&A System; Chatterbot
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