Suchergebnisse - automatic sql query generation*

Automatic SQL Query Generation from Code Switched Natural Language Questions on Electronic Medical Records

Autoren: Haodi Zhang Jinyin Nie Zeming Liu et al.

Quelle: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :2844-2851

Speech-to-SQL: toward speech-driven SQL query generation from natural language question

Autoren: Song, Yuanfeng Wong, Raymond Chi-Wing Zhao, Xuefang

Index Begriffe: Speech-to-SQL, SQL query generation, Speech-driven querying system, AI/NLP/Speech for database, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-136855
https://doi.org/10.1007/s00778-024-00837-0
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1066-8888&rft.volume=&rft.issue=&rft.date=2024&rft.spage=&rft.aulast=Song&rft.aufirst=Yua&rft.atitle=Speech-to-SQL%3A+toward+speech-driven+SQL+query+generation+from+natural+language+question&rft.title=VLDB+JOURNAL
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001163488300001
http://www.scopus.com/record/display.url?eid=2-s2.0-85185506624&origin=inward

Minimum Steiner Tree for Automatic SQL Query Generation Applied on a Medical Record Database

Autoren: Christoher E. Gillies Nilesh Patel Gautam B. Singh et al.

Quelle: 2011 IEEE World Congress on Services. :443-450

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data

Autoren: Simone Papicchio Paolo Papotti Luca Cagliero

Quelle: ACM Transactions on Intelligent Systems and Technology. 16:1-26

Schlagwörter: Large Language Models, Query Generation, Semantic Parsing, Table Question Answering, Tabular Representation Learning, Text2SQL

Dateibeschreibung: application/pdf

Speech-to-SQL: toward speech-driven SQL query generation from natural language question

Autoren: Yuanfeng Song Raymond Chi-Wing Wong Xuefang Zhao

Quelle: The VLDB Journal. 33:1179-1201

Schlagwörter: Speech-driven querying system, AI/NLP/Speech for database, SQL query generation, Speech-to-SQL

Automatic Generation of SQL Queries

Autoren: Quan Do Rajeev K. Agrawal Dhana Rao et al.

Quelle: 2014 ASEE Annual Conference & Exposition Proceedings. :24.221.1-24.221.11

Schlagwörter: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://peer.asee.org/20112.pdf

A tool for automatic SQL query generator from natural language (NL).

Autoren: Khan, Rijwan Rai, Anurag Sharma, Tushar et al.

Quelle: AIP Conference Proceedings; 2024, Vol. 3072 Issue 1, p1-12, 12p

Schlagwörter: NATURAL languages, SQL, NATURAL language processing, DATABASES

Use of automatic SQL generation interface to enhance transparency and validity of health-data analysis

Autoren: Kavishwar B. Wagholikar David Zelle Layne Ainsworth et al.

Quelle: Inform Med Unlocked
Informatics in Medicine Unlocked, Vol 31, Iss, Pp 100996-(2022)

Schlagwörter: Databases, 03 medical and health sciences, 0302 clinical medicine, Validity of analysis, Computer applications to medicine. Medical informatics, Reproducibility of analysis, R858-859.7, 0202 electrical engineering, electronic engineering, information engineering, Graphical user-interface, Structured query language, 02 engineering and technology, Article, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35874460
https://doaj.org/article/970b7ba6fc424983b9531a84397fe9f2

Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question

Autoren: Song, Yuanfeng Wong, Raymond Chi-Wing Zhao, Xuefang et al.

Index Begriffe: Computer Science - Databases, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2201.01209

Using LLM to select the right SQL Query from candidates

Autoren: Li, Zhenwen Xie, Tao

Index Begriffe: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2401.02115

Analysis & Detection of SQL Injection Vulnerabilities via Automatic Test Case Generation of Programs

Autoren: Michelle Ruse Tanmoy Sarkar Samik Basu

Quelle: 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet. :31-37

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation

Autoren: Li, Jiahui Wu, Tongwang Mao, Yuren et al.

Schlagwörter: FOS: Computer and information sciences, Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2504.14837

Automatic SQL Error Mitigation in Oracle

Autoren: Krishna Kantikiran Pasupuleti Jiakun Li Hong Su et al.

Quelle: Proceedings of the VLDB Endowment. 16:3835-3847

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Automatic Generation and Reranking of SQL-Derived Answers to NL Questions

Autoren: Giordani, Alessandra Moschitti, Alessandro

Quelle: Communications in Computer and Information Science ISBN: 9783642452598

Zugangs-URL: http://disi.unitn.it/moschitti/articles/2012/JIMSE2012-SQL.pdf
https://hdl.handle.net/11572/67427
https://doi.org/10.1007/978-3-642-45260-4_5
https://hdl.handle.net/11572/95279

Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation.

Autoren: Park J Fang Y Ta C et al.

Quelle: Journal of biomedical informatics [J Biomed Inform] 2024 Jun; Vol. 154, pp. 104649. Date of Electronic Publication: 2024 Apr 30.

Publikationsart: Journal Article; Research Support, N.I.H., Extramural

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE

MeSH-Schlagworte: Clinical Trials as Topic*, Humans ; Natural Language Processing ; Software ; Patient Selection

Automatic Generation of SQL Queries.

Autoren: Quan Do Agrawal, Rajeev K. Rao, Dhana et al.

Quelle: Proceedings of the ASEE Annual Conference & Exposition. 2014, p1-11. 11p.

Schlagwörter: *SQL, *ANSI standards, *QUERY languages (Computer science), *DEEP learning, *METADATA

Firma/Körperschaft: INTERNATIONAL Organization for Standardization

Automatic annotation for accurate text-to-SPARQL translation using hybrid encoder–decoder models.

Autoren: Chen, Yi-Hui Lu, Eric Jui-Lin Hsu, Cheng-Hsien

Quelle: Journal of Supercomputing. Jan2026, Vol. 82 Issue 1, p1-41. 41p.

Automatic SQL query generation

Autoren: Arbabifard, Kamyar Gudivada, Venkat N Computer Science

Weitere Verfasser: Arbabifard, Kamyar Gudivada, Venkat N Computer Science

Schlagwörter: Personalized Learning, Question Generation, SQL (Computer program language), MOOCs (Web-based instruction), Educational evaluation

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/10342/6401

Verfügbarkeit: http://hdl.handle.net/10342/6401

Generación automática de tablas para probar consultas SQL ; Automatic generation of tables for testing SQL queries

Autoren: De Lluc Bonet Seguí, María Plaza Sanz, Álvaro Martín Martín, Enrique

Weitere Verfasser: De Lluc Bonet Seguí, María Plaza Sanz, Álvaro Martín Martín, Enrique

Schlagwörter: 004(043.3), SQL, Juez de Aprendizaje, Biblioteca, Oracle Database, LearnSQL, Python, Bases de datos, Learning Judge, Library, Databases, Informática (Informática), 1203.17 Informática

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/20.500.14352/3217

Verfügbarkeit: https://hdl.handle.net/20.500.14352/3217

Student Outcome Assessment on Structured Query Language using Rubrics and Automated Feedback Generation

Autoren: Nayak, Sidhidatri Agarwal, Reshu Khatri, Sunil Kumar et al.

Quelle: Nayak, S, Agarwal, R, Khatri, S K & Mohammadian, M 2024, 'Student Outcome Assessment on Structured Query Language using Rubrics and Automated Feedback Generation', International Journal of Advanced Computer Science and Applications, vol. 15, no. 3, pp. 728-736. https://doi.org/10.14569/IJACSA.2024.0150374

Dateibeschreibung: application/pdf

Verfügbarkeit: https://researchprofiles.canberra.edu.au/en/publications/743219a5-4574-4cf0-933c-214cfd5dbb26
https://doi.org/10.14569/IJACSA.2024.0150374
https://researchsystem.canberra.edu.au/ws/files/93465599/Paper_74-Student_Outcome_Assessment_on_Structured_Query_Language.pdf
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