{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:11:36Z","timestamp":1767262296715,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Samsung Eletr\u00f4nica da Amaz\u00f4nia LTDA","award":["Brazilian Informatics Law #8387\/1991"],"award-info":[{"award-number":["Brazilian Informatics Law #8387\/1991"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,23]]},"DOI":"10.1145\/3617023.3617035","type":"proceedings-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T04:11:19Z","timestamp":1696392679000},"page":"91-95","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["DBVinci \u2013 towards the usage of GPT engine for processing SQL Queries"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8246-6896","authenticated-orcid":false,"given":"Vanessa","family":"C\u00e2mara","sequence":"first","affiliation":[{"name":"Retail Management System, Sidia R&D Institute, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9693-6417","authenticated-orcid":false,"given":"Rayol","family":"Mendonca-Neto","sequence":"additional","affiliation":[{"name":"Retail Management System, Sidia R&D Institute, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5586-7005","authenticated-orcid":false,"given":"Andr\u00e9","family":"Silva","sequence":"additional","affiliation":[{"name":"Retail Management System, Sidia R&D Institute, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9503-856X","authenticated-orcid":false,"given":"Luiz","family":"Cordovil-Jr","sequence":"additional","affiliation":[{"name":"Retail Management System, Sidia R&D Institute, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-019-00567-8"},{"key":"e_1_3_2_1_2_1","unstructured":"Ruichu Cai Boyan Xu Xiaoyan Yang Zhenjie Zhang Zijian Li and Zhihao Liang. 2018. An Encoder-Decoder Framework Translating Natural Language to Database Queries. arxiv:1711.06061\u00a0[cs.CL]  Ruichu Cai Boyan Xu Xiaoyan Yang Zhenjie Zhang Zijian Li and Zhihao Liang. 2018. An Encoder-Decoder Framework Translating Natural Language to Database Queries. arxiv:1711.06061\u00a0[cs.CL]"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-021-01180-y"},{"key":"e_1_3_2_1_4_1","unstructured":"Pengcheng He Yi Mao Kaushik Chakrabarti and Weizhu Chen. 2019. X-SQL: reinforce schema representation with context. arxiv:1908.08113\u00a0[cs.CL]  Pengcheng He Yi Mao Kaushik Chakrabarti and Weizhu Chen. 2019. X-SQL: reinforce schema representation with context. arxiv:1908.08113\u00a0[cs.CL]"},{"key":"e_1_3_2_1_5_1","unstructured":"Wonseok Hwang Jinyeong Yim Seunghyun Park and Minjoon Seo. 2019. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. arxiv:1902.01069\u00a0[cs.CL]  Wonseok Hwang Jinyeong Yim Seunghyun Park and Minjoon Seo. 2019. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. arxiv:1902.01069\u00a0[cs.CL]"},{"key":"e_1_3_2_1_6_1","unstructured":"Qin Lyu Kaushik Chakrabarti Shobhit Hathi Souvik Kundu Jianwen Zhang and Zheng Chen. 2020. Hybrid Ranking Network for Text-to-SQL. arxiv:2008.04759\u00a0[cs.CL]  Qin Lyu Kaushik Chakrabarti Shobhit Hathi Souvik Kundu Jianwen Zhang and Zheng Chen. 2020. Hybrid Ranking Network for Text-to-SQL. arxiv:2008.04759\u00a0[cs.CL]"},{"key":"e_1_3_2_1_7_1","unstructured":"Nitarshan Rajkumar Raymond Li and Dzmitry Bahdanau. 2022. Evaluating the Text-to-SQL Capabilities of Large Language Models. arxiv:2204.00498\u00a0[cs.CL]  Nitarshan Rajkumar Raymond Li and Dzmitry Bahdanau. 2022. Evaluating the Text-to-SQL Capabilities of Large Language Models. arxiv:2204.00498\u00a0[cs.CL]"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407858"},{"key":"e_1_3_2_1_9_1","unstructured":"Tianze Shi Kedar Tatwawadi Kaushik Chakrabarti Yi Mao Oleksandr Polozov and Weizhu Chen. 2018. IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. arxiv:1809.05054\u00a0[cs.CL]  Tianze Shi Kedar Tatwawadi Kaushik Chakrabarti Yi Mao Oleksandr Polozov and Weizhu Chen. 2018. IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. arxiv:1809.05054\u00a0[cs.CL]"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551841"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Bailin Wang Richard Shin Xiaodong Liu Oleksandr Polozov and Matthew Richardson. 2021. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. arxiv:1911.04942\u00a0[cs.CL]  Bailin Wang Richard Shin Xiaodong Liu Oleksandr Polozov and Matthew Richardson. 2021. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. arxiv:1911.04942\u00a0[cs.CL]","DOI":"10.18653\/v1\/2020.acl-main.677"},{"key":"e_1_3_2_1_12_1","unstructured":"Tianbao Xie Chen\u00a0Henry Wu Peng Shi Ruiqi Zhong Torsten Scholak Michihiro Yasunaga Chien-Sheng Wu Ming Zhong Pengcheng Yin Sida\u00a0I. Wang Victor Zhong Bailin Wang Chengzu Li Connor Boyle Ansong Ni Ziyu Yao Dragomir Radev Caiming Xiong Lingpeng Kong Rui Zhang Noah\u00a0A. Smith Luke Zettlemoyer and Tao Yu. 2022. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. arxiv:2201.05966\u00a0[cs.CL]  Tianbao Xie Chen\u00a0Henry Wu Peng Shi Ruiqi Zhong Torsten Scholak Michihiro Yasunaga Chien-Sheng Wu Ming Zhong Pengcheng Yin Sida\u00a0I. Wang Victor Zhong Bailin Wang Chengzu Li Connor Boyle Ansong Ni Ziyu Yao Dragomir Radev Caiming Xiong Lingpeng Kong Rui Zhang Noah\u00a0A. Smith Luke Zettlemoyer and Tao Yu. 2022. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. arxiv:2201.05966\u00a0[cs.CL]"},{"key":"e_1_3_2_1_13_1","volume-title":"Exploring Continual Learning for Code Generation Models. arXiv preprint arXiv:2307.02435","author":"Yadav Prateek","year":"2023","unstructured":"Prateek Yadav , Qing Sun , Hantian Ding , Xiaopeng Li , Dejiao Zhang , Ming Tan , Xiaofei Ma , Parminder Bhatia , Ramesh Nallapati , Murali\u00a0Krishna Ramanathan , 2023. Exploring Continual Learning for Code Generation Models. arXiv preprint arXiv:2307.02435 ( 2023 ). Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali\u00a0Krishna Ramanathan, 2023. Exploring Continual Learning for Code Generation Models. arXiv preprint arXiv:2307.02435 (2023)."},{"key":"e_1_3_2_1_14_1","volume-title":"A comprehensive capability analysis of gpt-3 and gpt-3.5 series models. arXiv preprint arXiv:2303.10420","author":"Ye Junjie","year":"2023","unstructured":"Junjie Ye , Xuanting Chen , Nuo Xu , Can Zu , Zekai Shao , Shichun Liu , Yuhan Cui , Zeyang Zhou , Chao Gong , Yang Shen , 2023. A comprehensive capability analysis of gpt-3 and gpt-3.5 series models. arXiv preprint arXiv:2303.10420 ( 2023 ). Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, 2023. A comprehensive capability analysis of gpt-3 and gpt-3.5 series models. arXiv preprint arXiv:2303.10420 (2023)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1425"},{"key":"e_1_3_2_1_16_1","unstructured":"Victor Zhong Caiming Xiong and Richard Socher. 2017. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. arxiv:1709.00103\u00a0[cs.CL]  Victor Zhong Caiming Xiong and Richard Socher. 2017. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. arxiv:1709.00103\u00a0[cs.CL]"}],"event":{"name":"WebMedia '23: Brazilian Symposium on Multimedia and the Web","acronym":"WebMedia '23","location":"Ribeir\u00e3o Preto Brazil"},"container-title":["Proceedings of the 29th Brazilian Symposium on Multimedia and the Web"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3617023.3617035","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3617023.3617035","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:06Z","timestamp":1750178166000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3617023.3617035"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,23]]},"references-count":16,"alternative-id":["10.1145\/3617023.3617035","10.1145\/3617023"],"URL":"https:\/\/doi.org\/10.1145\/3617023.3617035","relation":{},"subject":[],"published":{"date-parts":[[2023,10,23]]},"assertion":[{"value":"2023-10-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}