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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26431
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dc.contributor.authorBartie, Philen_UK
dc.contributor.authorMackaness, Williamen_UK
dc.contributor.authorGkatzia, Dimitraen_UK
dc.contributor.authorRieser, Verenaen_UK
dc.contributor.editorCalzolari, Nen_UK
dc.contributor.editorChoukri, Ken_UK
dc.contributor.editorMazo, Hen_UK
dc.contributor.editorMoreno, Aen_UK
dc.contributor.editorDeclerck T, Ten_UK
dc.contributor.editorGoggi, Sen_UK
dc.contributor.editorGrobelnik, Men_UK
dc.contributor.editorOdijk, Jen_UK
dc.contributor.editorPiperidis, Sen_UK
dc.contributor.editorMaegaard, Ben_UK
dc.contributor.editorMariani, Jen_UK
dc.date.accessioned2017-12-22T01:24:13Z-
dc.date.available2017-12-22T01:24:13Z-
dc.date.issued2016en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26431-
dc.description.abstractWe present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world urban scenes together with verbal descriptions of target objects generated by humans, paired with data on how successful other people were able to identify the same object based on these descriptions. In total, the corpus contains 32 images with on average 27 descriptions per image and 3 verifications for each description. In addition, the corpus is annotated with a variety of linguistically motivated features. The paper highlights issues posed by collecting data using crowd-sourcing with an unrestricted input format, as well as using real-world urban scenes. The corpus will be released via the ELRA repository as part of this submission.en_UK
dc.language.isoenen_UK
dc.publisherEuropean Language Resources Association (ELRA)en_UK
dc.relationBartie P, Mackaness W, Gkatzia D & Rieser V (2016) The REAL corpus: A crowd-sourced Corpus of human generated and evaluated spatial references to real-world urban scenes. In: Calzolari N, Choukri K, Mazo H, Moreno A, Declerck T T, Goggi S, Grobelnik M, Odijk J, Piperidis S, Maegaard B & Mariani J (eds.) Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. 10th International Conference on Language Resources and Evaluation, LREC 2016, Portoroz, Slovenia, 23.05.2016-28.05.2016. Paris: European Language Resources Association (ELRA), pp. 2153-2155. http://www.lrec-conf.org/proceedings/lrec2016/pdf/1035_Paper.pdfen_UK
dc.relation.urihttp://hdl.handle.net/11667/82en_UK
dc.relation.urihttp://lrec2016.lrec-conf.org/en/en_UK
dc.rightsThe LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/)en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectImage Descriptionsen_UK
dc.subjectSpatial Referring Expressionsen_UK
dc.subjectUrban Scenesen_UK
dc.subjectVision and Languageen_UK
dc.titleThe REAL corpus: A crowd-sourced Corpus of human generated and evaluated spatial references to real-world urban scenesen_UK
dc.typeConference Paperen_UK
dc.citation.spage2153en_UK
dc.citation.epage2155en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://www.lrec-conf.org/proceedings/lrec2016/pdf/1035_Paper.pdfen_UK
dc.citation.btitleProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016en_UK
dc.citation.conferencedates2016-05-23 - 2016-05-28en_UK
dc.citation.conferencelocationPortoroz, Sloveniaen_UK
dc.citation.conferencename10th International Conference on Language Resources and Evaluation, LREC 2016en_UK
dc.citation.date31/05/2016en_UK
dc.citation.isbn978-295174089-1en_UK
dc.publisher.addressParisen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationHeriot-Watt Universityen_UK
dc.contributor.affiliationHeriot-Watt Universityen_UK
dc.identifier.scopusid2-s2.0-85037124985en_UK
dc.identifier.wtid507599en_UK
dc.contributor.orcid0000-0002-1139-0716en_UK
dc.date.accepted2015-11-27en_UK
dcterms.dateAccepted2015-11-27en_UK
dc.date.filedepositdate2017-12-21en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorBartie, Phil|0000-0002-1139-0716en_UK
local.rioxx.authorMackaness, William|en_UK
local.rioxx.authorGkatzia, Dimitra|en_UK
local.rioxx.authorRieser, Verena|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorCalzolari, N|en_UK
local.rioxx.contributorChoukri, K|en_UK
local.rioxx.contributorMazo, H|en_UK
local.rioxx.contributorMoreno, A|en_UK
local.rioxx.contributorDeclerck T, T|en_UK
local.rioxx.contributorGoggi, S|en_UK
local.rioxx.contributorGrobelnik, M|en_UK
local.rioxx.contributorOdijk, J|en_UK
local.rioxx.contributorPiperidis, S|en_UK
local.rioxx.contributorMaegaard, B|en_UK
local.rioxx.contributorMariani, J|en_UK
local.rioxx.freetoreaddate2017-12-21en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2017-12-21|en_UK
local.rioxx.filename1035_Paper.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-295174089-1en_UK
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