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dc.contributor.authorPilehvar, Mohammaden
dc.contributor.authorCollier, Nigelen
dc.date.accessioned2017-04-27T10:17:08Z
dc.date.available2017-04-27T10:17:08Z
dc.date.issued2017-04-07en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263834
dc.description.abstractWe put forward an approach that exploits the knowledge encoded in lexical resources in order to induce representations for words that were not encountered frequently during training. Our approach provides an advantage over the past work in that it enables vocabulary expansion not only for morphological variations, but also for infrequent domain specific terms. We performed evaluations in different settings, showing that the technique can provide consistent improvements on multiple benchmarks across domains.
dc.description.sponsorshipThe authors gratefully acknowledge the support of the MRC grant No. MR/M025160/1 for PheneBank.
dc.language.isoenen
dc.publisherAssociation for Computational Linguistics
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleInducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resourcesen
dc.typeConference Object
prism.endingPage393
prism.publicationDate2017en
prism.publicationNameProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguisticsen
prism.startingPage388
prism.volume2, Short Papersen
dc.identifier.doi10.17863/CAM.9211
dcterms.dateAccepted2017-02-01en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-04-07en
dc.contributor.orcidCollier, Nigel [0000-0002-7230-4164]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.conference-name15th Conference of the European Chapter of the Association for Computational Linguisticsen
pubs.conference-start-date2017-04-03en
cam.orpheus.successThu Nov 05 11:57:22 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International