Towards grounding conceptual spaces in neural representations

DC FieldValueLanguage
dc.contributor.authorBechberger, L.
dc.contributor.authorKühnberger, K.-U.
dc.contributor.editorBesold, T.R.
dc.contributor.editorNoble, I.
dc.contributor.editord'Avila Garcez, A.
dc.date.accessioned2021-12-23T16:34:18Z-
dc.date.available2021-12-23T16:34:18Z-
dc.date.issued2017
dc.identifier.issn16130073
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/18084-
dc.descriptionConference of 12th International Workshop on Neural-Symbolic Learning and Reasoning, NeSy 2017 ; Conference Date: 17 July 2017 Through 18 July 2017; Conference Code:132032
dc.description.abstractThe highly influential framework of conceptual spaces provides a geometric way of representing knowledge. It aims at bridging the gap between symbolic and subsymbolic processing. Instances are represented by points in a high-dimensional space and concepts are represented by convex regions in this space. In this paper, we present our approach towards grounding the dimensions of a conceptual space in latent spaces learned by an InfoGAN from unlabeled data. Copyright © 2017 for this paper by its authors.
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.subjectConceptual spaces
dc.subjectHigh dimensional spaces
dc.subjectNeural representations
dc.subjectSub-symbolic
dc.subjectUnlabeled data
dc.titleTowards grounding conceptual spaces in neural representations
dc.typeconference paper
dc.identifier.scopus2-s2.0-85037115832
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85037115832&partnerID=40&md5=12c0cdbe39a2b18bfbcc0011485527d7
dc.description.volume2003
dcterms.isPartOf.abbreviationCEUR Workshop Proc.
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidinstitute28-
crisitem.author.orcid0000-0003-1626-0598-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidKuKa032-
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