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dc.contributor.authorGooding, Sianen
dc.contributor.authorKochmar, Ekaterinaen
dc.date.accessioned2019-10-30T00:30:12Z
dc.date.available2019-10-30T00:30:12Z
dc.date.issued2018en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/298179
dc.description.abstractThis paper presents the winning systems we submitted to the Complex Word Identification Shared Task 2018. We describe our best performing systems’ implementations and discuss our key findings from this research. Our best-performing systems achieve an F1 score of 0.8736 on the NEWS, 0.8400 on the WIKINEWS and 0.8115 on the WIKIPEDIA test sets in the monolingual English binary classification track, and a mean absolute error of 0.0558 on the NEWS, 0.0674 on the WIKINEWS and 0.0739 on the WIKIPEDIA test sets in the probabilistic track.
dc.publisherAssociation for Computational Linguistics
dc.rightsAll rights reserved
dc.rights.uri
dc.titleCAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Votingen
dc.typeConference Object
prism.publicationDate2018en
prism.publicationNameProceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applicationsen
dc.identifier.doi10.17863/CAM.45233
rioxxterms.versionofrecord10.18653/v1/w18-0520en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018en
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idCambridge Assessment (unknown)
pubs.conference-nameProceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applicationsen
pubs.conference-start-date2018-06en


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