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dc.contributor.authorChen, Harr
dc.contributor.authorBenson, Edward Oscar
dc.contributor.authorNaseem, Tahira
dc.contributor.authorBarzilay, Regina
dc.date.accessioned2012-09-20T18:04:40Z
dc.date.available2012-09-20T18:04:40Z
dc.date.issued2011-06
dc.identifier.isbn978-1-932432-87-9
dc.identifier.urihttp://hdl.handle.net/1721.1/73079
dc.description.abstractWe present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting meta-constraints that characterize the general qualities of a good relation in any domain. These constraints state that instances of a single relation should exhibit regularities at multiple levels of linguistic structure, including lexicography, syntax, and document-level context. We capture these regularities via the structure of our probabilistic model as well as a set of declaratively-specified constraints enforced during posterior inference. Across two domains our approach successfully recovers hidden relation structure, comparable to or outperforming previous state-of-the-art approaches. Furthermore, we find that a small set of constraints is applicable across the domains, and that using domain-specific constraints can further improve performance.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Machine Reading Program under Air Force Research Laboratory (AFRL) prime contract no. FA8750-09-C-0172)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dl.acm.org/citation.cfm?id=2002472.2002540&coll=DL&dl=ACM&CFID=87070219&CFTOKEN=34670296en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleIn-domain relation discovery with meta-constraints via posterior regularizationen_US
dc.typeArticleen_US
dc.identifier.citationChen, Harr et al. "In-domain Relation Discovery with Meta-constraints via Posterior Regularization." Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, HLT '11, Portland, Oregon, USA, June 19-24, 2011.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverBarzilay, Regina
dc.contributor.mitauthorChen, Harr
dc.contributor.mitauthorBarzilay, Regina
dc.contributor.mitauthorBenson, Edward Oscar
dc.contributor.mitauthorNaseem, Tahira
dc.relation.journalProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, ACL HLT '11en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsChen, Harr; Benson, Edward; Naseem, Tahira; Barzilay, Reginaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2921-8201
mit.licenseOPEN_ACCESS_POLICYen_US


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