Domain Specific Query Generation from Natural Language Text

被引:0
|
作者
Iftikhar, Anum [1 ]
Iftikhar, Erum [1 ]
Mehmood, Muhammad Khalid [2 ]
机构
[1] Islamia Univ Bahawalpur, Dept Comp Sci & IT, Bahawalpur, Pakistan
[2] Islamia Univ Bahawalpur, IT, Bahawalpur, Pakistan
关键词
Structure Query Language; natural language processing; discourse; semantic;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents an approach to automate the generation of Structure Query Language from Natural Language Text. Software requirements specifications are most important part of Natural Language Processing, as little mistake in this phase results in absurd software design. Software Specifications are used in software industry. When we automatic translate these Natural Language Text into Structured Query Text we find Many issues because Software Specification is not an independent sentence they have many module related to each other. so when we translate these English text we have found many issues such as discourse, semantic and negation problem. The evaluation method for Natural Language texts is to test against a list of sentences, each of which is paired with yes or no. For this case I have study Natural Language text and their problems in my MS thesis. What Natural Language Texts are and what issues are found when we automatic translate these Texts into SQL. We used Stanford dependency parser for text translation.
引用
收藏
页码:502 / 506
页数:5
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