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dc.contributor.authorQuattoni, Ariadna Julieta
dc.contributor.authorRamisa Ayats, Arnau
dc.contributor.authorMadhyastha, Pranava S.
dc.contributor.authorSimó Serra, Edgar
dc.contributor.authorMoreno-Noguer, Francesc
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2017-05-29T13:43:38Z
dc.date.available2017-05-29T13:43:38Z
dc.date.issued2016
dc.identifier.citationQuattoni, A.J., Ramisa , A., Madhyastha, P.S., Simo, E., Moreno-Noguer, F. Structured prediction with output embeddings for semantic image annotation. A: Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies. "2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference". San Diego, CA: 2016, p. 552-557.
dc.identifier.isbn9781941643914
dc.identifier.urihttp://hdl.handle.net/2117/105004
dc.description.abstractWe address the task of annotating images with semantic tuples. Solving this problem requires an algorithm able to deal with hundreds of classes for each argument of the tuple. In such contexts, data sparsity becomes a key challenge. We propose handling this sparsity by incorporating feature representations of both the inputs (images) and outputs (argument classes) into a factorized log-linear model.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherComputational linguistics
dc.subject.otherLinguistics
dc.subject.otherRegression analysis
dc.subject.otherData sparsity
dc.subject.otherEmbeddings
dc.subject.otherFeature representation
dc.subject.otherLoglinear model
dc.subject.otherSemantic imatge annotations
dc.subject.otherStructured prediction
dc.subject.othercomputer vision
dc.subject.othernatural language processing
dc.titleStructured prediction with output embeddings for semantic image annotation
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory::Predictive control
dc.relation.publisherversionhttps://aclweb.org/anthology/N/N16/N16-1068.pdf
dc.rights.accessOpen Access
local.identifier.drac19286576
dc.description.versionPostprint (author's final draft)
local.citation.authorQuattoni, A.J.; Ramisa, A.; Madhyastha, P.S.; Simo, E.; Moreno-Noguer, F.
local.citation.contributorConference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies
local.citation.pubplaceSan Diego, CA
local.citation.publicationName2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference
local.citation.startingPage552
local.citation.endingPage557


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