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Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning

dc.contributor.authorGu, Zihui
dc.contributor.authorFan, Ju
dc.contributor.authorTang, Nan
dc.contributor.authorCao, Lei
dc.contributor.authorJia, Bowen
dc.contributor.authorMadden, Samuel
dc.contributor.authorDu, Xiaoyong
dc.date.accessioned2023-07-11T17:47:42Z
dc.date.available2023-07-11T17:47:42Z
dc.date.issued2023-06-20
dc.identifier.issn2836-6573
dc.identifier.urihttps://hdl.handle.net/1721.1/151087
dc.publisherACMen_US
dc.relation.isversionofhttps://doi.org/10.1145/3589292en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleFew-shot Text-to-SQL Translation using Structure and Content Prompt Learningen_US
dc.typeArticleen_US
dc.identifier.citationGu, Zihui, Fan, Ju, Tang, Nan, Cao, Lei, Jia, Bowen et al. 2023. "Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning." Proceedings of the ACM on Management of Data, 1 (2).
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the ACM on Management of Dataen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-07-01T08:00:17Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-07-01T08:00:17Z
mit.journal.volume1en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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