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dc.contributor.authorYin, Pengcheng
dc.contributor.authorFang, Hao
dc.contributor.authorNeubig, Graham
dc.contributor.authorPauls, Adam
dc.contributor.authorPlatanios, Emmanouil Antonios
dc.contributor.authorSu, Yu
dc.contributor.authorThomson, Sam
dc.contributor.authorAndreas, Jacob
dc.date.accessioned2022-06-02T18:37:08Z
dc.date.available2022-06-02T18:37:08Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/142867
dc.language.isoen
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.isversionof10.18653/V1/2021.NAACL-MAIN.225en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.sourceAssociation for Computational Linguisticsen_US
dc.titleCompositional Generalization for Neural Semantic Parsing via Span-level Supervised Attentionen_US
dc.typeArticleen_US
dc.identifier.citationYin, Pengcheng, Fang, Hao, Neubig, Graham, Pauls, Adam, Platanios, Emmanouil Antonios et al. 2021. "Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention." Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologiesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-06-02T18:26:03Z
dspace.orderedauthorsYin, P; Fang, H; Neubig, G; Pauls, A; Platanios, EA; Su, Y; Thomson, S; Andreas, Jen_US
dspace.date.submission2022-06-02T18:26:06Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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