Translating Natural Language Queries to SQL Using the T5 Model

被引:0
|
作者
Wong, Albert [1 ]
Pham, Lien [1 ]
Lee, Young [2 ]
Chan, Shek [1 ]
Sadaya, Razel [1 ]
Khmelevsky, Youry [3 ]
Clement, Mathias [3 ]
Cheng, Florence Wing Yau [1 ]
Mahony, Joe [4 ]
Ferri, Michael [4 ]
机构
[1] Langara Coll, Math & Stat, Vancouver, BC, Canada
[2] Okanagan Coll, Math & Stat, Kelowna, BC, Canada
[3] Okanagan Coll, Comp Sci, Kelowna, BC, Canada
[4] Harris SmartWorks, Res & Dev, Ottawa, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Natural Language Processing; Data Query System; Text-to-SQL; Speech-to-SQL; Deep Learning; Machine Learning; T5; Model; Human-Machine-Systems; Energy Systems;
D O I
10.1109/SysCon61195.2024.10553509
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction processing system and a data warehouse, have a 73% and 84% exact match accuracy respectively. These models, in conjunction with other work completed in the research project, were implemented for several companies and used successfully on a daily basis. The approach used in the model development could be implemented in a similar fashion for other database environments and with a more powerful pre-trained language model.
引用
下载
收藏
页数:7
相关论文
共 50 条
  • [31] Translating Speech to Indian Sign Language Using Natural Language Processing
    Sharma, Purushottam
    Tulsian, Devesh
    Verma, Chaman
    Sharma, Pratibha
    Nancy, Nancy
    FUTURE INTERNET, 2022, 14 (09):
  • [32] Abstractive Text Summarization Using T5 Architecture
    Ramesh, G. S.
    Manyam, Vamsi
    Mandula, Vijoosh
    Myana, Pavan
    Macha, Sathvika
    Reddy, Suprith
    PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND COMMUNICATION SYSTEMS, ICACECS 2021, 2022, : 535 - 543
  • [33] SONGS CONTINUATION GENERATION TECHNOLOGY BASED ON TEST GENERATION STRATEGIES, TEXTMINING AND LANGUAGE MODEL T5
    Mediakov, O.
    Vysotska, V.
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2023, (04) : 157 - 174
  • [34] An Approach for Generating SQL Query Using Natural Language Processing
    More, Priyanka
    Kudale, Bharti
    Deshmukh, Pranali
    Biswas, Indira N.
    More, Neha J.
    Gomes, Francisco S.
    INTELLIGENT COMMUNICATION TECHNOLOGIES AND VIRTUAL MOBILE NETWORKS, ICICV 2019, 2020, 33 : 226 - 230
  • [35] Formation of SQL from Natural Language Query using NLP
    Uma, M.
    Sneha, V
    Sneha, G.
    Bhuvana, J.
    Bharathi, B.
    2019 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN DATA SCIENCE (ICCIDS 2019), 2019,
  • [36] Evaluation of Datasets Focused on Grammatical Error Correction Using the T5 Model in Slovak
    Harahus, Maros
    Sokolova, Zuzana
    Pleva, Matus
    Juhar, Jozef
    Hladek, Daniel
    Stas, Jan
    Kocturova, Marianna
    2024 34TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA, RADIOELEKTRONIKA 2024, 2024,
  • [37] Searching for music using natural language queries and relevance feedback
    Knees, Peter
    Widmer, Gerhard
    ADAPTIVE MULTIMEDIAL RETRIEVAL: RETRIEVAL, USER, AND SEMANTICS, 2008, 4918 : 109 - 121
  • [38] Processing of Korean Natural Language Queries Using Local Grammars
    Noh, Tac-Gil
    Han, Yong-Jin
    Park, Seong-Bae
    Park, Se-Young
    COMPUTER PROCESSING OF ORIENTAL LANGUAGES: LANGUAGE TECHNOLOGY FOR THE KNOWLEDGE-BASED ECONOMY, 2009, 5459 : 34 - 44
  • [39] Natural Language Query to SQL conversion using Machine Learning Approach
    Arefin, Minhazul
    Hossen, Kazi Mojammel
    Uddin, Mohammed Nasir
    2021 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2021,
  • [40] Reformulating natural language queries using sequence-to-sequence models
    Liu, Xiaoyu
    Pan, Shunda
    Zhang, Qi
    Jiang, Yu-Gang
    Huang, Xuanjing
    SCIENCE CHINA-INFORMATION SCIENCES, 2019, 62 (12)