期刊文献+

基于实体的数据库汉语问句查询接口研究

Research on Entity-Based Interactive Query Interface in Chinese Natural Language for Databases
在线阅读 下载PDF
导出
摘要 设计并实现一个基于实体的通用可交互数据库汉语问句查询接口,该接口可将汉语问句转化为SQL语句,并通过数据库查询得到答案。系统首先对问句进行分词、实体语义标注等处理,生成一幅包含句子中各个实体及实体关系的信息领域图。将句子中的语义节点定位到图中,再按照设计好的算法,实现从句子到信息领域图,再到SQL语句的转化。实验表明,该系统能够基本有效地处理各种常见形式的查询语句,具有良好的可用性和可移植性。 Designs and realizes an entity-based interactive query interface which can transform Chinese queries into SQL and get the answer from databases. The interface first conducts lexical analysis and entity annotation, and generates a domain information graph (DIG). The domain information graph is a graph which contains all entities and their relationship of a query. Then locates the semantic nodes in the graph and finishes the transformation from the query to DIG and from DIG to SQL. The experimental results show that this system can basically solve common queries and have good usability and portability.
出处 《现代计算机》 2013年第7期26-29,共4页 Modern Computer
关键词 自然语言处理 汉语问句查询接口 信息领域图 实体 语义节点 Natural Language Processing Chinese Query Interface Domain Information Graph Entity SemanticNode
  • 相关文献

参考文献3

二级参考文献38

  • 1翟伟斌,周振柳,蒋卓明,许榕生.汉语分词词典设计[J].计算机工程与应用,2007,43(1):1-2. 被引量:12
  • 2H Y Tan. Chinese place automatic recognition research. In: C N Huang, Z D Dong, eds. Proc of Computational Language.Beijing: Tsinghua University Press, 1999
  • 3Zhang Huaping, Liu Qun, Zhang Hao, et al. Automatic recognition of Chinese unknown words recognition. First SIGHAN Workshop Attached with the 19th COLING, Taipei, 2002
  • 4S R Ye, T S Chua, J M Liu. An agent-based approach to Chinese named entity recognition. The 19th Int'l Conf on Computational Linguistics, Taipei, 2002
  • 5J Sun, J F Gao, L Zhang, et al. Chinese named entity identification using class-based language model. The 19th Int'l Conf on Computational Linguistics, Taipei, 2002
  • 6Lawrence R Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proc of IEEE, 1989,77(2): 257~286
  • 7Shai Fine, Yoram Singer, Naftali Tishby. The hierarchical hidden Markov model: Analysis and applications. Machine Learning,1998, 32(1): 41~62
  • 8Richard Sproat, Thomas Emerson. The first international Chinese word segmentation bakeoff. The First SIGHAN Workshop Attached with the ACL2003, Sapporo, Japan, 2003. 133~143
  • 9J Hockenmaier, C Brew. Error-driven learning of Chinese word segmentation. In: J Guo, K T Lua, J Xu, eds. The 12th Pacific Conf on Language and Information, Singapore, 1998
  • 10Andi Wu, Zixin Jiang. Word segmentation in sentence analysis.1998 Int'l Conf on Chinese Information Processing, Beijing, 1998

共引文献202

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部