Human Language Question To SQL Query Using Deep Learning

被引：1

作者：

Ahkouk, Karam ^{[1
]}

Machkour, Mustapha ^{[1
]}

机构：

[1] Univ Ibn Zohr, Lab Comp Syst & Vis, Agadir, Morocco

来源：

2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019) | 2019年

关键词：

Natural language; Database languages; machine translation; deep learning;

D O I：

10.1109/icds47004.2019.8942342

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Inferring structured queries from human language is a complex task that should take into account the lack of knowledge of structural languages like SQL, XQuery, XPath, etc..., in order to effectively use the content of database systems. In this paper, we describe the pros & cons of the existing approaches in the task of text to SQL. We put the light on the ones making use of syntax parsing and the others that utilize deep learning methods to predict the appropriate queries.

引用

页数：6

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