A Question-Aware Few-Shot Text-to-SQL Neural Model for Industrial Databases

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ren Li, Yu Chen, Hongyi Zhang, Jianxi Yang, Qiao Xiao, Shixin Jiang
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引用次数: 0

Abstract

Intelligent question answering over industrial databases is a challenging task due to the multicolumn context and complex questions. The existing methods need to be improved in terms of SQL generation accuracy. In this paper, we propose a question-aware few-shot Text-to-SQL approach based on the SDCUP pretrained model. Specifically, an attention-based filtering approach is proposed to reduce the redundant information from multiple columns in the industrial database scenario. We further propose an operator semantics enhancement method to improve the ability of identifying complex conditions in queries. Experimental results on the industrial benchmarks in the fields of electric energy and structural inspection show that the proposed model outperforms the baseline models across all few-shot settings.

Abstract Image

面向工业数据库的问题感知文本- sql神经模型
由于工业数据库的多列上下文和复杂的问题,智能问答是一项具有挑战性的任务。现有的方法需要在SQL生成精度方面进行改进。在本文中,我们提出了一种基于SDCUP预训练模型的问题感知文本到sql的方法。具体而言,提出了一种基于注意力的过滤方法,以减少工业数据库场景中多列信息的冗余。我们进一步提出了一种算子语义增强方法来提高识别查询中复杂条件的能力。在电力和结构检测领域的工业基准上的实验结果表明,所提出的模型在所有少数镜头设置上都优于基线模型。
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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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