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publisher = {Springer New York LLC},
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issn = {0949877X},
arxivId = {1906.08990},
keywords = {Natural language interfaces, Query processing, Survey}
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publisher = {IEEE Computer Society},
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keywords = {Fuzzy decision, fuzzy semantic deep network, natural language processing (NLP), text-to-SQL}
}
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@techreport{Malik2015ASQL,
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@inproceedings{Wong2021ASystems,
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year = {2021},
booktitle = {RASSE 2021 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings},
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isbn = {9781665434416},
doi = {10.1109/RASSE53195.2021.9686815},
keywords = {Data Query System, Deep Learning, Energy Systems, Human-Machine-Systems, Machine Learning, Natural Language Processing, Speech-to-SQL, Text-to-SQL}
}
@inproceedings{Qin2022ADirections,
title = {{A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions}},
year = {2022},
booktitle = {arXiv preprint arXiv:2208.13629},
author = {Qin, Bowen and Hui, Binyuan and Wang, Lihan and Yang, Min and Li, Jinyang and Li, Binhua and Geng, Ruiying and Cao, Rongyu and Sun, Jian and Si, Luo and Huang, Fei and Li, Yongbin},
month = {8},
url = {http://arxiv.org/abs/2208.13629},
arxivId = {2208.13629}
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title = {{BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding}},
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arxivId = {1810.04805}
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@article{Lin2020BridgingParsing,
title = {{Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing}},
year = {2020},
journal = {arXiv preprint arXiv:2012.12627},
author = {Lin, Xi Victoria and Socher, Richard and Xiong, Caiming},
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url = {http://arxiv.org/abs/2012.12627},
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@article{Baik2019BridgingDatabases,
title = {{Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases}},
year = {2019},
journal = {IEEE 35th International Conference on Data Engineering},
author = {Baik, Christopher and Jagadish, H. V. and Li, Yunyao},
month = {1},
pages = {374--382},
url = {http://arxiv.org/abs/1902.00031 http://dx.doi.org/10.1109/ICDE.2019.00041},
doi = {10.1109/ICDE.2019.00041},
arxivId = {1902.00031}
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@article{Shaw2020CompositionalBoth,
title = {{Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?}},
year = {2020},
journal = {arXiv preprint arXiv:2010.12725.},
author = {Shaw, Peter and Chang, Ming-Wei and Pasupat, Panupong and Toutanova, Kristina},
month = {10},
url = {http://arxiv.org/abs/2010.12725},
arxivId = {2010.12725}
}
@article{Guo2019ContentGeneration,
title = {{Content Enhanced BERT-based Text-to-SQL Generation}},
year = {2019},
journal = {arXiv preprint arXiv:1910.07179},
author = {Guo, Tong and Gao, Huilin},
month = {10},
url = {http://arxiv.org/abs/1910.07179},
arxivId = {1910.07179}
}
@inproceedings{Kate2018ConversionQuery,
title = {{Conversion of Natural Language Query to SQL Query}},
year = {2018},
booktitle = {Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology, ICECA 2018},
author = {Kate, Abhilasha and Kamble, Satish and Bodkhe, Aishwarya and Joshi, Mrunal},
month = {9},
pages = {488--491},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
isbn = {9781538609651},
doi = {10.1109/ICECA.2018.8474639},
keywords = {Data Dictionary, Natural Language Processing, Natural Language Query, SQL, Semantic, Speech-to-Text, Syntactic}
}
@article{Pal2021DataGeneration,
title = {{Data Agnostic RoBERTa-based Natural Language to SQL Query Generation}},
year = {2021},
journal = {6th International Conference for Convergence in Technology },
author = {Pal, Debaditya and Sharma, Harsh and Chaudhari, Kaustubh},
month = {10},
url = {http://arxiv.org/abs/2010.05243},
arxivId = {2010.05243}
}
@inproceedings{Agrawal2014DBIQSNLP,
title = {{DBIQS - An intelligent system for querying and mining databases using NLP}},
year = {2014},
booktitle = {Proceedings of the 2014 International Conference on Information Systems and Computer Networks, ISCON 2014},
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month = {11},
pages = {39--44},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
isbn = {9781479929818},
doi = {10.1109/ICISCON.2014.6965215},
keywords = {DBIQS, Data Mining, Data Warehousing, Database Management, Intelligent Querying System, NLIDB, Natural Language Processing, Query Generation, SQL}
}
@inproceedings{Joiner2022DWStudy,
title = {{DW vs OLTP Performance Optimization in the Cloud on PostgreSQL (A Case Study)}},
year = {2022},
booktitle = {RASSE 2022 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Symposium Proceedings},
author = {Joiner, D. and Clement, M. and Chan, S.T. and Pereira, K. and Wong, A. and Khmelevsky, Y. and Mahony, J. and Ferri, M.},
isbn = {9781665494915},
doi = {10.1109/RASSE54974.2022.9989603},
keywords = {Data warehousing, PostgreSQL, big data, databases, performance optimization}
}
@article{Zhang2019Editing-BasedQuestions,
title = {{Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions}},
year = {2019},
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title = {{Effective Approaches to Attention-based Neural Machine Translation}},
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keywords = {Ambiguity, Context Provider (CP), Encryption, Initial state, Natural language processing}
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@article{Bai2020EnhancedRetrieval,
title = {{Enhanced Natural Language Interface for Web-Based Information Retrieval}},
year = {2020},
journal = {arXiv preprint arXiv:2010.12725},
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publisher = {Institute of Electrical and Electronics Engineers Inc.},
doi = {10.1109/ACCESS.2020.3048164},
issn = {21693536},
keywords = {Databases, Gated Graph Neural Network, Information retrieval, Natural Language Processing, Natural languages, Neural Network, Predictive models, Structured Query Language, Task analysis, Text-to-SQL, Web pages}
}
@inproceedings{Ferreira2020EvaluatingSystems,
title = {{Evaluating human-machine translation with attention mechanisms for industry 4.0 environment SQL-based systems}},
year = {2020},
booktitle = {IEEE International Workshop on Metrology for Industry 4.0 {\&} IoT },
author = {Ferreira, S. and Leit{\~{a}}o, G. and Silva, I. and Martins, A. and Ferrari, P.},
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title = {{Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}},
year = {2019},
journal = {The Journal of Machine Learning Research},
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@inproceedings{Uma2019FormationNLP,
title = {{Formation of SQL from Natural Language Queryusing NLP}},
year = {2019},
booktitle = {2019 International Conference on Computational Intelligence in Data Science (ICCIDS)},
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publisher = {IEEE},
isbn = {9781538694718}
}
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@article{Song2019HierarchicalDecoding,
title = {{Hierarchical Schema Representation for Text-to-SQL Parsing with Decomposing Decoding}},
year = {2019},
journal = {IEEE Access},
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pages = {103706--103715},
volume = {7},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
doi = {10.1109/ACCESS.2019.2931464},
issn = {21693536},
keywords = {SQL generation, Semantic parsing, deep learning, graph encoder, natural language process, neural network}
}
@inproceedings{Phal2019ISQNL:Input,
title = {{ISQNL: Interpretable SQL query synthesizer from natural language input}},
year = {2019},
booktitle = {ACM International Conference Proceeding Series},
author = {Phal, Shubham Milind and Yatish, H. R. and Hukkeri, Tanmay Sanjay and Natarajan, Abhiram and Gonchigar, Prathika and Deepamala, N.},
month = {11},
publisher = {Association for Computing Machinery},
isbn = {9781450372916},
doi = {10.1145/3373477.3373478},
keywords = {Entity Recognition, Intent Recognition, N Grams, Natural Language query, Natural language processing, SQL query, Tokenization parts of speech tagging, Wordnets}
}
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title = {{Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation}},
year = {2014},
journal = {arXiv preprint arXiv:1406.1078.},
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month = {6},
url = {http://arxiv.org/abs/1406.1078},
arxivId = {1406.1078}
}
@article{Cao2021LGESQL:Relations,
title = {{LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations}},
year = {2021},
journal = {arXiv preprint arXiv:2106.01093.},
author = {Cao, Ruisheng and Chen, Lu and Chen, Zhi and Zhao, Yanbin and Zhu, Su and Yu, Kai},
month = {6},
url = {http://arxiv.org/abs/2106.01093},
arxivId = {2106.01093}
}
@article{Elazar2021MeasuringModels,
title = {{Measuring and Improving Consistency in Pretrained Language Models}},
year = {2021},
journal = {Transactions of the Association for Computational Linguistics},
author = {Elazar, Yanai and Kassner, Nora and Ravfogel, Shauli and Ravichander, Abhilasha and Hovy, Eduard and Sch{\"{u}}tze, Hinrich and Sch{\"{u}}tze, Sch¨ and Goldberg, Yoav},
pages = {1012--1031},
volume = {9},
url = {https://doi.org/10.1162/tacl},
doi = {10.1162/tacl}
}
@article{Ma2020MentionGeneration,
title = {{Mention Extraction and Linking for SQL Query Generation}},
year = {2020},
journal = {arXiv preprint arXiv:2012.10074},
author = {Ma, Jianqiang and Yan, Zeyu and Pang, Shuai and Zhang, Yang and Shen, Jianping},
month = {12},
url = {http://arxiv.org/abs/2012.10074 http://dx.doi.org/10.18653/v1/2020.emnlp-main.563},
doi = {10.18653/v1/2020.emnlp-main.563},
arxivId = {2012.10074}
}
@article{Yao2019ModelParsing,
title = {{Model Based Interactive Semantic Parsing}},
year = {2019},
journal = {arXiv preprint arXiv:1910.05389},
author = {Yao, Z. and Su, Y. and Sun, H. and Yih, W. T.}
}
@inproceedings{Ma2021MT-Teql:Variations,
title = {{MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations}},
year = {2021},
booktitle = {Proceedings of the VLDB Endowment},
author = {Ma, Pingchuan and Wang, Shuai},
number = {3},
pages = {569--582},
volume = {15},
publisher = {VLDB Endowment},
doi = {10.14778/3494124.3494139},
issn = {21508097}
}
@inproceedings{Mohite2015NaturalTechnique,
title = {{Natural language interface to database using modified co-occurrence matrix technique}},
year = {2015},
booktitle = {2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015},
author = {Mohite, Anuradha and Bhojane, Varunakshi},
month = {4},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
isbn = {9781479962723},
doi = {10.1109/PERVASIVE.2015.7087045},
keywords = {Database, Information retrieval, Natural language interface, Natural language processing, Structured Query Language (SQL), Word co-occurrence matrix technique}
}
@article{Kombade2020NaturalSQL,
title = {{Natural Language Processing with some Abbreviation to SQL}},
year = {2020},
journal = {International Journal for Research in Applied Science and Engineering Technology},
author = {Kombade, Chandrakala},
number = {5},
month = {5},
pages = {1046--1048},
volume = {8},
publisher = {International Journal for Research in Applied Science and Engineering Technology (IJRASET)},
doi = {10.22214/ijraset.2020.5166}
}
@article{JavubarSathick2015NaturalSources,
title = {{Natural language to SQL generation for semantic knowledge extraction in social web sources}},
year = {2015},
journal = {Indian Journal of Science and Technology},
author = {Javubar Sathick, K. and Jaya, A.},
number = {1},
pages = {1--10},
volume = {8},
publisher = {Indian Society for Education and Environment},
doi = {10.17485/ijst/2015/v8i1/54123},
issn = {09745645},
keywords = {Natural language interface for databases (NLIDB), Natural language processing (NLP), R-tool, Semantic knowledge extraction (SKE), Social web data, Structured query language (SQL)}
}
@article{Gan2021NaturalSpecifications,
title = {{Natural SQL: Making SQL Easier to Infer from Natural Language Specifications}},
year = {2021},
journal = {arXiv preprint arXiv:2109.05153.},
author = {Gan, Yujian and Chen, Xinyun and Xie, Jinxia and Purver, Matthew and Woodward, John R. and Drake, John and Zhang, Qiaofu},
month = {9},
url = {http://arxiv.org/abs/2109.05153},
arxivId = {2109.05153}
}
@techreport{Tabrez2015NLPQuery,
title = {{NLP TO Create SQL Query}},
year = {2015},
booktitle = {IJSRD-International Journal for Scientific Research {\&} Development|},
author = {Tabrez, ProfKhan and Shagufta, Shaikh and Sharmeen, Shaikh and Ummiya, Momin and Rameeza, Shaikh},
pages = {2321--0613},
volume = {3},
url = {www.ijsrd.com},
keywords = {Morphoms, NLP}
}
@inproceedings{Vathsala2021NLP2SQLLearning,
title = {{NLP2SQL Using Semi-supervised Learning}},
year = {2021},
booktitle = {Advanced Computing: 10th International Conference, IACC 2020, Panaji, Goa, India, December 5–6, 2020 , Revised Selected Papers, Part I 10 },
author = {Vathsala, H. and Koolagudi, S.G.},
pages = {288--299},
publisher = {Springer}
}
@article{Scholak2021PICARD:Models,
title = {{PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models}},
year = {2021},
journal = {arXiv preprint arXiv:2109.05093},
author = {Scholak, Torsten and Schucher, Nathan and Bahdanau, Dzmitry},
month = {9},
url = {http://arxiv.org/abs/2109.05093},
arxivId = {2109.05093}
}
@article{Wang2022Pre-TrainedApplications,
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