{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T20:53:22Z","timestamp":1773694402518,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T00:00:00Z","timestamp":1623196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"MOE Singapore","award":["2018-T1-001-134"],"award-info":[{"award-number":["2018-T1-001-134"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,9]]},"DOI":"10.1145\/3448016.3452822","type":"proceedings-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T17:22:39Z","timestamp":1624036959000},"page":"1933-1945","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Towards Enhancing Database Education"],"prefix":"10.1145","author":[{"given":"Weiguo","family":"Wang","sequence":"first","affiliation":[{"name":"Nanyang Technological University &amp; Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sourav S.","family":"Bhowmick","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shafiq","family":"Joty","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Chen","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,18]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"ERT. https:\/\/storage.googleapis.com\/bert_models\/2018_10_18\/uncased_L-12_H-768_A-12.zip.  ERT. https:\/\/storage.googleapis.com\/bert_models\/2018_10_18\/uncased_L-12_H-768_A-12.zip."},{"key":"e_1_3_2_2_2_1","unstructured":"LMo.https:\/\/s3-us-west-2.amazonaws.com\/allennlp\/models\/elmo\/.  LMo.https:\/\/s3-us-west-2.amazonaws.com\/allennlp\/models\/elmo\/."},{"key":"e_1_3_2_2_3_1","unstructured":"loVe. https:\/\/nlp.stanford.edu\/projects\/glove\/.  loVe. https:\/\/nlp.stanford.edu\/projects\/glove\/."},{"key":"e_1_3_2_2_4_1","unstructured":"abituation. Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Habituation.  abituation. Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Habituation."},{"key":"e_1_3_2_2_5_1","unstructured":"he IMDb database. https:\/\/relational.fit.cvut.cz\/dataset\/IMDb.  he IMDb database. https:\/\/relational.fit.cvut.cz\/dataset\/IMDb."},{"key":"e_1_3_2_2_6_1","unstructured":"ensorFlow. https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/keras\/metrics\/SparseCategoricalAccuracy.  ensorFlow. https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/keras\/metrics\/SparseCategoricalAccuracy."},{"key":"e_1_3_2_2_7_1","unstructured":"arration. Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Narration.  arration. Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Narration."},{"key":"e_1_3_2_2_8_1","unstructured":"araphrasing tool. https:\/\/paraphrasing-tool.com\/.  araphrasing tool. https:\/\/paraphrasing-tool.com\/."},{"key":"e_1_3_2_2_9_1","unstructured":"repostseo paraphrasing tool. https:\/\/www.prepostseo.com\/paraphrasing-tool.  repostseo paraphrasing tool. https:\/\/www.prepostseo.com\/paraphrasing-tool."},{"key":"e_1_3_2_2_10_1","unstructured":"uillbot paraphraser. https:\/\/quillbot.com\/.  uillbot paraphraser. https:\/\/quillbot.com\/."},{"key":"e_1_3_2_2_11_1","unstructured":"DSS dataset. https:\/\/www.skyserver.org\/myskyserver\/.  DSS dataset. https:\/\/www.skyserver.org\/myskyserver\/."},{"key":"e_1_3_2_2_12_1","unstructured":"PC-H benchmark. http:\/\/www.tpc.org.  PC-H benchmark. http:\/\/www.tpc.org."},{"key":"e_1_3_2_2_13_1","unstructured":"ord2Vec. https:\/\/code.google.com\/archive\/p\/word2vec\/.  ord2Vec. https:\/\/code.google.com\/archive\/p\/word2vec\/."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-019-00567-8"},{"key":"e_1_3_2_2_15_1","volume-title":"ICDE","author":"Jagadish H. V.","year":"2019","unstructured":". Baik, H. V. Jagadish , Y. Li . Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases . In ICDE , 2019 . . Baik, H. V. Jagadish, Y. Li. Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. In ICDE, 2019."},{"key":"e_1_3_2_2_16_1","volume-title":"SIGMOD","author":"Jin Z.","year":"2020","unstructured":". Baik, Z. Jin , M. J. Cafarella , H. V. Jagadish . Duoquest : A Dual-Specification System for Expressive SQL Queries . In SIGMOD , 2020 . . Baik, Z. Jin, M. J. Cafarella, H. V. Jagadish. Duoquest: A Dual-Specification System for Expressive SQL Queries. In SIGMOD, 2020."},{"key":"e_1_3_2_2_17_1","volume-title":"SIGMOD","year":"2018","unstructured":". Basik, : A Learned NL-Interface for Databases . In SIGMOD , 2018 . . Basik, et al. DBPal: A Learned NL-Interface for Databases. In SIGMOD, 2018."},{"key":"e_1_3_2_2_18_1","volume-title":"ICLR","author":"Cho K.","year":"2015","unstructured":". Bahdanau, K. Cho , Y. Bengio . Neural Machine Translation by Jointly Learning to Align and Translate . In ICLR , 2015 . . Bahdanau, K. Cho, Y. Bengio. Neural Machine Translation by Jointly Learning to Align and Translate. In ICLR, 2015."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.37.1.97"},{"key":"e_1_3_2_2_20_1","volume-title":"Story and Discourse: Narrative Structure in Fiction and Film. Cornell paperbacks","year":"1980","unstructured":". Chatman. Story and Discourse: Narrative Structure in Fiction and Film. Cornell paperbacks , Cornell University Press , 1980 . . Chatman. Story and Discourse: Narrative Structure in Fiction and Film. Cornell paperbacks, Cornell University Press, 1980."},{"key":"e_1_3_2_2_21_1","volume-title":"PODS","year":"1998","unstructured":". Chaudhuri. An Overview of Query Optimization in Relational Systems . In PODS , 1998 . . Chaudhuri. An Overview of Query Optimization in Relational Systems. In PODS, 1998."},{"key":"e_1_3_2_2_22_1","volume-title":"Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv e-prints","author":"Chang M.","year":"2018","unstructured":". Devlin, M. Chang , K. Lee , K. Toutanova . Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv e-prints , 2018 . . Devlin, M. Chang, K. Lee, K. Toutanova. Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv e-prints, 2018."},{"key":"e_1_3_2_2_23_1","volume-title":"ICML","author":"Auli M.","year":"2017","unstructured":". Gehring, M. Auli , D. Grangier , D. Yarats , Y. N. Dauphin . Convolutional Sequence to Sequence Learning . In ICML , 2017 . . Gehring, M. Auli, D. Grangier, D. Yarats, Y. N. Dauphin. Convolutional Sequence to Sequence Learning. In ICML, 2017."},{"key":"e_1_3_2_2_24_1","volume-title":"ICASSP","author":"Mohamed A.","year":"2013","unstructured":". Graves, A. Mohamed , G. Hinton . Speech Recognition with Deep Recurrent Neural Networks . In ICASSP , 2013 . . Graves, A. Mohamed, G. Hinton. Speech Recognition with Deep Recurrent Neural Networks. In ICASSP, 2013."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0032314"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/10410236.2012.690175"},{"key":"e_1_3_2_2_27_1","first-page":"708","article-title":"Is Banner Blindness Genuine?","volume":"25","author":"Guerard K.","year":"2011","unstructured":". Hervet, K. Guerard , S. Tremblay , M. Saber Chtourou . Is Banner Blindness Genuine? Eye Tracking Internet TextAdvertising. Applied Cognitive Psychology , 25 , 5: 708 -- 716 , 2011 . . Hervet, K. Guerard, S. Tremblay, M. Saber Chtourou. Is Banner Blindness Genuine? Eye Tracking Internet TextAdvertising. Applied Cognitive Psychology, 25, 5: 708--716, 2011.","journal-title":"Eye Tracking Internet TextAdvertising. Applied Cognitive Psychology"},{"key":"e_1_3_2_2_28_1","first-page":"76","article-title":"Towards a Model of Boredom","author":"Hill B.","year":"1985","unstructured":". B. Hill , R. E. Perkins . Towards a Model of Boredom . British Journal of Psychology , 76 , 1985 . . B. Hill, R. E. Perkins. Towards a Model of Boredom. British Journal of Psychology, 76, 1985.","journal-title":"British Journal of Psychology"},{"key":"e_1_3_2_2_29_1","volume-title":"Natural Language to SQL: Where Are We Today? PVLDB, 13(10)","author":"So B.-H.","year":"2020","unstructured":". Kim, B.-H. So , W.-S. Han . H. Lee . Natural Language to SQL: Where Are We Today? PVLDB, 13(10) , 2020 . . Kim, B.-H. So, W.-S. Han. H. Lee. Natural Language to SQL: Where Are We Today? PVLDB, 13(10), 2020."},{"key":"e_1_3_2_2_30_1","volume-title":"CIDR","author":"Kipf T.","year":"2019","unstructured":". Kipf, T. Kipf , B. Radke , V. Leis , P. A. Boncz , A. Kemper . Learned Cardinalities : Estimating Correlated Joins with Deep Learning . In CIDR , 2019 . . Kipf, T. Kipf, B. Radke, V. Leis, P. A. Boncz, A. Kemper. Learned Cardinalities: Estimating Correlated Joins with Deep Learning. In CIDR, 2019."},{"key":"e_1_3_2_2_31_1","volume-title":"SIGMOD","author":"Vagenas P.","year":"2012","unstructured":". Kokkalis, P. Vagenas , A. Zervakis , A. Simitsis , G. Koutrika , Y. E. Ioannidis . Logos : A System for Translating Queries into Narratives . In SIGMOD , 2012 . . Kokkalis, P. Vagenas, A. Zervakis, A. Simitsis, G. Koutrika, Y. E. Ioannidis. Logos: A System for Translating Queries into Narratives. In SIGMOD, 2012."},{"key":"e_1_3_2_2_32_1","volume-title":"SIGMOD","author":"Jagadish H. V.","year":"2014","unstructured":". Li, H. V. Jagadish . NaLIR : An Interactive Natural Language Interface for Querying Relational Databases . In SIGMOD , 2014 . . Li, H. V. Jagadish. NaLIR: An Interactive Natural Language Interface for Querying Relational Databases. In SIGMOD, 2014."},{"key":"e_1_3_2_2_33_1","volume-title":"Constructing an Interactive Natural Language Interface for Relational Databases. PVLDB, 8(1)","author":"Jagadish H. V.","year":"2014","unstructured":". Li, H. V. Jagadish . Constructing an Interactive Natural Language Interface for Relational Databases. PVLDB, 8(1) , 2014 . . Li, H. V. Jagadish. Constructing an Interactive Natural Language Interface for Relational Databases. PVLDB, 8(1), 2014."},{"key":"e_1_3_2_2_34_1","volume-title":"SIGMOD","year":"2019","unstructured":". Liu, : Query Optimization Meets Natural Language Processing For Augmenting Database Education . In SIGMOD , 2019 . . Liu, et al. NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education. In SIGMOD, 2019."},{"key":"e_1_3_2_2_35_1","volume-title":"Assessment","author":"B. Mercer-Lynn","year":"2011","unstructured":". B. Mercer-Lynn , D. B. Flora , S. A. Fahlman , J. D. Eastwood . The Measurement of Boredom: Differences betweenExisting self-report Scales . Assessment , 2011 . . B. Mercer-Lynn ,D. B. Flora, S. A. Fahlman, J. D. Eastwood. The Measurement of Boredom: Differences betweenExisting self-report Scales. Assessment, 2011."},{"key":"e_1_3_2_2_36_1","volume-title":"Efficient Estimation of Word Representations in Vector Space. ArXiv e-prints","author":"Chen K.","year":"2013","unstructured":". Mikolov, K. Chen , G. Corrado , J. Dean . Efficient Estimation of Word Representations in Vector Space. ArXiv e-prints , 2013 . . Mikolov, K. Chen, G. Corrado, J. Dean. Efficient Estimation of Word Representations in Vector Space. ArXiv e-prints, 2013."},{"key":"e_1_3_2_2_37_1","first-page":"43","article-title":"The Essence of Boredom","author":"Mikulas L.","year":"1993","unstructured":". L. Mikulas ., S. J. Vodanovich . The Essence of Boredom . The Psychological Record , 43 , 1993 . . L. Mikulas., S. J. Vodanovich. The Essence of Boredom. The Psychological Record, 43, 1993.","journal-title":"The Psychological Record"},{"key":"e_1_3_2_2_38_1","volume-title":"Effective Approaches to Attention-based Neural Machine Translation. ArXiv e-prints","author":"Pham H.","year":"2015","unstructured":". Luong, H. Pham , C. Manning . Effective Approaches to Attention-based Neural Machine Translation. ArXiv e-prints , 2015 . . Luong, H. Pham, C. Manning. Effective Approaches to Attention-based Neural Machine Translation. ArXiv e-prints, 2015."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/0001-6918(81)90033-0"},{"key":"e_1_3_2_2_40_1","volume-title":"ER","author":"Outa El","year":"2020","unstructured":". El Outa , M. Francia , P. Marcel , V. Peralta , P. Vassiliadis . Towards a Conceptual Model for Data Narratives . In ER , 2020 . . El Outa, M. Francia, P. Marcel, V. Peralta, P. Vassiliadis. Towards a Conceptual Model for Data Narratives. In ER, 2020."},{"key":"e_1_3_2_2_41_1","volume-title":"ACL","author":"Roukos S.","year":"2002","unstructured":". Papineni, S. Roukos , T. Ward , W. Zhu . BLEU : A Method for Automatic Evaluation of Machine Translation . In ACL , 2002 . . Papineni, S. Roukos, T. Ward, W. Zhu. BLEU: A Method for Automatic Evaluation of Machine Translation. In ACL, 2002."},{"key":"e_1_3_2_2_42_1","volume-title":"EMNLP","author":"Socher R.","year":"2014","unstructured":". Pennington, R. Socher , C. Manning . Glove : Global Vectors for Word Representation . In EMNLP , 2014 . . Pennington, R. Socher, C. Manning. Glove: Global Vectors for Word Representation. In EMNLP, 2014."},{"key":"e_1_3_2_2_43_1","volume-title":"NAACL","author":"Neumann M.","year":"2018","unstructured":". Peters, M. Neumann , M. Iyyer , M. Gardner , C. Clark , K. Lee , L. Zettlemoyer . 2018 . Deep Contextualized Word Representations . In NAACL , 2018. . Peters, M. Neumann, M. Iyyer, M.Gardner, C. Clark, K. Lee, L. Zettlemoyer. 2018. Deep Contextualized Word Representations. In NAACL, 2018."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/604045.604120"},{"key":"e_1_3_2_2_45_1","unstructured":". Radford J. Wu R. Child D. Luan D. Amodei I. Sutskever. 2019. Language Models are Unsupervised Multitask Learners. OpenAI Blog 1(8).  . Radford J. Wu R. Child D. Luan D. Amodei I. Sutskever. 2019. Language Models are Unsupervised Multitask Learners. OpenAI Blog 1(8)."},{"key":"e_1_3_2_2_46_1","volume-title":"et al.ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. PVLDB, 9(12)","author":"Floratou A.","year":"2016","unstructured":". Saha, A. Floratou , et al.ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. PVLDB, 9(12) , 2016 . . Saha, A. Floratou, et al.ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. PVLDB, 9(12), 2016."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1086\/208549"},{"key":"e_1_3_2_2_48_1","volume-title":"ACL","author":"Nakayama H.","year":"2019","unstructured":". Shu, H. Nakayama , K. Cho . Generating Diverse Translations with Sentence Codes . In ACL , 2019 . . Shu, H. Nakayama, K. Cho. Generating Diverse Translations with Sentence Codes. In ACL, 2019."},{"key":"e_1_3_2_2_49_1","volume-title":"NeurIPS","author":"Vinyals O.","year":"2014","unstructured":". Sutskever, O. Vinyals , Q. V Le . Sequence to Sequence Learning with Neural Networks . In NeurIPS , 2014 . . Sutskever, O. Vinyals, Q. V Le. Sequence to Sequence Learning with Neural Networks. In NeurIPS, 2014."},{"key":"e_1_3_2_2_50_1","volume-title":"Apr.","author":"Weir N.","year":"2018","unstructured":"Utama, N. Weir , F. Basik , C. Binnig , U. Cetintemel , B. Hattasch , A. Ilkhechi , S. Ramaswamy , and A. Usta . An End-to-end Neural Natural Language Interface for Databases. ArXiv e-prints , Apr. 2018 . Utama, N. Weir, F. Basik, C. Binnig, U. Cetintemel, B. Hattasch, A. Ilkhechi, S. Ramaswamy, and A. Usta. An End-to-end Neural Natural Language Interface for Databases. ArXiv e-prints, Apr. 2018."},{"key":"e_1_3_2_2_51_1","volume-title":"NeurIPS","author":"Shazeer N.","year":"2017","unstructured":". Vaswani, N. Shazeer , N. Parmar , J. Uszkoreit , L. Jones , A. N Gomez , ?. Kaiser, I. Polosukhin . Attention is All You Need . In NeurIPS , 2017 . . Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N Gomez, ?. Kaiser, I. Polosukhin. Attention is All You Need. In NeurIPS, 2017."},{"key":"e_1_3_2_2_53_1","first-page":"303","article-title":"Boredom Proneness and Psychosocial Development","volume":"133","author":"Watt D.","year":"1999","unstructured":". D. Watt , S. J. Vodanovich . Boredom Proneness and Psychosocial Development . TheJournal of Psychology , 133\/3 , pp. 303 -- 314 , 1999 . . D. Watt, S. J. Vodanovich. Boredom Proneness and Psychosocial Development. TheJournal of Psychology, 133\/3, pp. 303--314, 1999.","journal-title":"TheJournal of Psychology"},{"key":"e_1_3_2_2_54_1","volume-title":"SIGMOD","author":"Utama Prasetya","year":"2019","unstructured":"athaniel Weir, Prasetya Utama . Bootstrapping an End-to-End Natural Language Interface for Databases . In SIGMOD , 2019 . athaniel Weir, Prasetya Utama. Bootstrapping an End-to-End Natural Language Interface for Databases. In SIGMOD, 2019."},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"e_1_3_2_2_56_1","volume-title":"ICLR","author":"Fan A.","year":"2019","unstructured":". Wu, A. Fan , A. Baevski , Y. Dauphin , M. Auli . Pay Less Attention with Lightweight and Dynamic Convolutions . In ICLR , 2019 . . Wu, A. Fan, A. Baevski, Y. Dauphin, M. Auli. Pay Less Attention with Lightweight and Dynamic Convolutions. In ICLR, 2019."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2904720"},{"key":"e_1_3_2_2_58_1","volume-title":"IJCAI","author":"Lu Z.","year":"2016","unstructured":". Yin, Z. Lu , H. Li , and B. Kao . Neural Enquirer: Learning to Query Tables in Natural Language . In IJCAI , 2016 . Yin, Z. Lu, H. Li, and B. Kao. Neural Enquirer: Learning to Query Tables in Natural Language. In IJCAI, 2016"},{"key":"e_1_3_2_2_59_1","volume-title":"Spider: A Large-scale Human-labeled Dataset for Complex and Cross-domain Semantic Parsing and Text-to-SQL Task. CoRR, abs\/1809.08887","author":"Zhang R.","year":"2018","unstructured":". Yu, R. Zhang , K. Yang , M. Yasunaga , D. Wang , Z. Li , J. Ma , I. Li , Q. Yao , S. Roman , Z. Zhang , and D. R. Radev . Spider: A Large-scale Human-labeled Dataset for Complex and Cross-domain Semantic Parsing and Text-to-SQL Task. CoRR, abs\/1809.08887 , 2018 . . Yu, R. Zhang, K. Yang, M. Yasunaga, D. Wang, Z. Li, J. Ma, I. Li, Q. Yao, S. Roman, Z. Zhang, and D. R. Radev. Spider: A Large-scale Human-labeled Dataset for Complex and Cross-domain Semantic Parsing and Text-to-SQL Task. CoRR, abs\/1809.08887, 2018."},{"key":"e_1_3_2_2_60_1","volume-title":"EMNLP\/IJCNLP","author":"Zhang R.","year":"2019","unstructured":". Yu, R. Zhang , : A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases . In EMNLP\/IJCNLP , 2019 . . Yu, R. Zhang, et al. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. In EMNLP\/IJCNLP, 2019."},{"key":"e_1_3_2_2_61_1","volume-title":"CoRR abs\/1709.00103","author":"Zhong V.","year":"2017","unstructured":"V. Zhong , C. Xiong , and R. Socher . Seq2sql: Generating Structured Queries from Natural Language using Reinforcement Learning , CoRR abs\/1709.00103 , 2017 . V. Zhong, C. Xiong, and R. Socher. Seq2sql: Generating Structured Queries from Natural Language using Reinforcement Learning, CoRR abs\/1709.00103, 2017."}],"event":{"name":"SIGMOD\/PODS '21: International Conference on Management of Data","location":"Virtual Event China","acronym":"SIGMOD\/PODS '21","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2021 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3452822","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448016.3452822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:05Z","timestamp":1750195685000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3452822"}},"subtitle":["Natural Language Generation Meets Query Execution Plans"],"short-title":[],"issued":{"date-parts":[[2021,6,9]]},"references-count":60,"alternative-id":["10.1145\/3448016.3452822","10.1145\/3448016"],"URL":"https:\/\/doi.org\/10.1145\/3448016.3452822","relation":{},"subject":[],"published":{"date-parts":[[2021,6,9]]},"assertion":[{"value":"2021-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}