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dc.contributor.authorKim, Jiseon
dc.contributor.authorGriggs, Elden
dc.contributor.authorKim, In Song
dc.contributor.authorOh, Alice
dc.date.accessioned2023-03-22T18:06:03Z
dc.date.available2023-03-22T18:06:03Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/148669
dc.language.isoen
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.isversionof10.18653/V1/2021.EMNLP-MAIN.787en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computational Linguisticsen_US
dc.titleLearning Bill Similarity with Annotated and Augmented Corpora of Billsen_US
dc.typeArticleen_US
dc.identifier.citationKim, Jiseon, Griggs, Elden, Kim, In Song and Oh, Alice. 2021. "Learning Bill Similarity with Annotated and Augmented Corpora of Bills." Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Political Scienceen_US
dc.relation.journalProceedings of the 2021 Conference on Empirical Methods in Natural Language Processingen_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.updated2023-03-22T17:47:38Z
dspace.orderedauthorsKim, J; Griggs, E; Kim, IS; Oh, Aen_US
dspace.date.submission2023-03-22T17:47:40Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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