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dc.contributor.authorShah, Darsh
dc.contributor.authorYu, Lili
dc.contributor.authorLei, Tao
dc.contributor.authorBarzilay, Regina
dc.date.accessioned2022-06-21T18:51:53Z
dc.date.available2022-06-21T18:51:53Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143525
dc.language.isoen
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.isversionof10.18653/V1/2021.NAACL-MAIN.411en_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 Computational Linguisticsen_US
dc.titleNutri-bullets Hybrid: Consensual Multi-document Summarizationen_US
dc.typeArticleen_US
dc.identifier.citationShah, Darsh, Yu, Lili, Lei, Tao and Barzilay, Regina. 2021. "Nutri-bullets Hybrid: Consensual Multi-document Summarization." 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.updated2022-06-21T18:47:49Z
dspace.orderedauthorsShah, D; Yu, L; Lei, T; Barzilay, Ren_US
dspace.date.submission2022-06-21T18:47:51Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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