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dc.contributor.authorGatt, Albert
dc.contributor.authorMarin, Nicolas
dc.contributor.authorPortet, Francois
dc.contributor.authorSanchez, Daniel
dc.date.accessioned2017-10-06T09:17:04Z
dc.date.available2017-10-06T09:17:04Z
dc.date.issued2016
dc.identifier.citationGatt, A., Marín, N., Portet, F., & Sánchez, D. (2016). The role of graduality for referring expression generation in visual scenes. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven. 191-203.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22323
dc.description.abstractReferring Expression Generation (reg) algorithms, a core component of systems that generate text from non-linguistic data, seek to identify domain objects using natural language descriptions. While reg has often been applied to visual domains, very few approaches deal with the problem of fuzziness and gradation. This paper discusses these problems and how they can be accommodated to achieve a more realistic view of the task of referring to objects in visual scenes.en_GB
dc.language.isoenen_GB
dc.publisherSpringer International Publishingen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectReference (Linguistics)en_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectLinguistic analysis (Linguistics)en_GB
dc.subjectWord (Linguistics)en_GB
dc.subjectTypology (Linguistics)en_GB
dc.titleThe role of graduality for referring expression generation in visual scenesen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencenameInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systemsen_GB
dc.bibliographicCitation.conferenceplaceEindhoven, The Netherlands, 20-24/06/2016en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/978-3-319-40596-4_17
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