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Comparative study of existing approaches on the Task of Natural Language to Database Language

机译:对数据库语言任务现有方法的比较研究

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The use of databases is growing rapidly in many domains and the interaction to these systems requires an advanced knowledge of structural languages like SQL, XQuery, XPath, etc…, in order to correctly use the contents of database systems. In this paper, we introduce the pros & cons of the existing solutions on the task of Natural Language to Database Language including Xml and Relational ones. We focus on the ones that are making use of syntax parsing and the others that utilize deep learning techniques to get the right queries.
机译:数据库的使用在许多域中迅速增长,并且对这些系统的交互需要高级知识,如SQL,XQuery,XPath等的结构语言,以便正确使用数据库系统的内容。在本文中,我们介绍了对包括XML和关系的数据库语言的自然语言任务的现有解决方案的优点。我们专注于正在利用语法解析和使用深度学习技术来获得正确查询的人。

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