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dc.contributor.authorO’Gorman, Tim
dc.contributor.authorJensen, Zach
dc.contributor.authorMysore, Sheshera
dc.contributor.authorHuang, Kevin
dc.contributor.authorMahbub, Rubayyat
dc.contributor.authorOlivetti, Elsa
dc.contributor.authorMcCallum, Andrew
dc.date.accessioned2022-05-18T16:01:42Z
dc.date.available2022-05-18T16:01:42Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/142585
dc.language.isoen
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.isversionof10.18653/V1/2021.EMNLP-MAIN.101en_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.titleMS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Texten_US
dc.typeArticleen_US
dc.identifier.citationO’Gorman, Tim, Jensen, Zach, Mysore, Sheshera, Huang, Kevin, Mahbub, Rubayyat et al. 2021. "MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text." Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
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.updated2022-05-18T15:55:02Z
dspace.orderedauthorsO’Gorman, T; Jensen, Z; Mysore, S; Huang, K; Mahbub, R; Olivetti, E; McCallum, Aen_US
dspace.date.submission2022-05-18T15:55:03Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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