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dc.contributor.authorEmerson, Guyen
dc.contributor.authorCopestake, Annen
dc.contributor.editorPost, Men
dc.date.accessioned2017-12-12T17:42:46Z
dc.date.available2017-12-12T17:42:46Z
dc.date.issued2017-09-21en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/270188
dc.description.abstractSemantic composition remains an open problem for vector space models of semantics. In this paper, we explain how the probabilistic graphical model used in the framework of Functional Distributional Semantics can be interpreted as a probabilistic version of model theory. Building on this, we explain how various semantic phenomena can be recast in terms of conditional probabilities in the graphical model. This connection between formal semantics and machine learning is helpful in both directions: it gives us an explicit mechanism for modelling context-dependent meanings (a challenge for formal semantics), and also gives us well-motivated techniques for composing distributed representations (a challenge for distributional semantics). We present results on two datasets that go beyond word similarity, showing how these semantically-motivated techniques improve on the performance of vector models.
dc.description.sponsorshipSchiff Foundation
dc.languageEnglishen
dc.publisherACL Anthology
dc.subjectcs.CLen
dc.subjectcs.CLen
dc.titleSemantic Composition via Probabilistic Model Theoryen
dc.typeConference Object
prism.publicationDate2017en
prism.publicationNameIWCS 2017 - 12th International Conference on Computational Semanticsen
dc.identifier.doi10.17863/CAM.17024
dcterms.dateAccepted2017-07-14en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-09-21en
dc.contributor.orcidEmerson, Guy [0000-0002-3136-9682]
dc.contributor.orcidCopestake, Ann [0000-0003-0347-946X]
rioxxterms.typeConference Paper/Proceeding/Abstracten
cam.issuedOnline2017-09en
dc.identifier.urlhttps://www.aclweb.org/anthology/W17-6806.pdfen
pubs.conference-nameThe 12th International Conference on Computational Semanticsen
pubs.conference-start-date2017-09-20en
rioxxterms.freetoread.startdate2018-09-22


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