摘要
通过分析在线答疑系统的交互模式,提出自助答疑和交互式答疑无缝衔接的答疑流程和框架;针对自助答疑过程中信息模糊检索的匹配问题,提出基于Lucene的全文检索方法,阐述了中文分词、主题词提取、索引建立和问题检索等关键技术。实验表明,该方法能有效地检索相关答疑信息,提升答疑效率。
A question-answering process and framework featured by seamless connection between the self-service question answering and interactive question answering are proposed by analyzing the interactive mode of the online question answering. To solve the matching problem of fuzzy message retrieval in the process of self-service question answering,a full text retrieval method based on Lucene is put forward. Meanwhile,the key technologies,such as Chinese segmentation,thematic word extraction,index construction and question retrieval,etc. are illustrated. The experiment result shows that the proposed method can effectively retrieve relevant information about the question answering and improve the efficiency.
出处
《当代教育理论与实践》
2018年第1期66-69,共4页
Theory and Practice of Contemporary Education
基金
湖南省自然科学基金面上项目(2017JJ2081)
湖南省教育厅科学研究项目(17C0646)
湖南科技大学2016年教学研究与改革项目(G31607)
2016年湖南省普通高等学校教学改革研究项目(406)
2017年湖南省普通高等学校教学改革研究项目(252)
关键词
在线答疑
LUCENE
全文检索
online question answering system
Lucene
full text retrieval