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Extracting Knowledge from On-Line Forums for Non-Obstructive Psychological Counseling Q&A System
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作者 Yuanchao Liu Ming Liu +1 位作者 Zhimao Lu Mingkai Song 《International Journal of Intelligence Science》 2012年第2期40-48,共9页
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... 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. 展开更多
关键词 KNOWLEDGE Base Construction KEYWORD Extraction Q&A SYSTEM Chatterbot
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基于chatterBot的教育智能对话机器人设计
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作者 蒋大伟 《自动化与仪器仪表》 2024年第12期182-186,共5页
针对心理教育问题,研究设计了一款面向高中生的智能对话机器人。研究首先介绍了双向最大分词匹配算法与隐马尔可夫模型,然后在此基础上设计了基于聊天机器人的智能对话系统。结果显示,100%的用户对机器人持支持态度,认为对话内容易懂、... 针对心理教育问题,研究设计了一款面向高中生的智能对话机器人。研究首先介绍了双向最大分词匹配算法与隐马尔可夫模型,然后在此基础上设计了基于聊天机器人的智能对话系统。结果显示,100%的用户对机器人持支持态度,认为对话内容易懂、对话流畅。专家评估显示,流畅度为92.86%,信息准确度为95.45%,情感表达为91.26%。在2周实验中,参与学生的抑郁、急躁、焦虑水平显著下降,心理教育知识水平提升明显。测试表明机器人系统达到了高效率与学生进行沟通的目的,能够帮助学生应对压力、焦虑和情绪问题,还能提升他们的心理教育知识水平。研究同时为人工智能和心理健康教育领域的跨学科融合提供了新的方向。 展开更多
关键词 心理教育 chatterBot 双向最大分词匹配算法 隐马尔可夫模型
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