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Multi3Generation: multitask, multilingual, and multimodal language generation

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dc.contributor.coauthorLloret, Elena
dc.contributor.coauthorBarreiro, Anabela
dc.contributor.coauthorBhatt, Mehul
dc.contributor.coauthorBugarín-Diz, Alberto
dc.contributor.coauthorModoni, Gianfranco E.
dc.contributor.coauthorSilberztein, Max
dc.contributor.coauthorCalixto, Iacer
dc.contributor.coauthorKorvel, Grazina
dc.contributor.coauthorDiamantaras, Konstantinos
dc.contributor.coauthorKatsalis, Alkiviadis
dc.contributor.coauthorTuruta, Oleskii
dc.contributor.coauthorRusso, Irene
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorErdem, Aykut
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2025-01-19T10:30:39Z
dc.date.issued2023
dc.description.abstractThe purpose of this article is to highlight the critical importance of language generation today. In particular, language generation is explored from the following three aspects: multi-modality, multilinguality, and multitask, which all of them play crucial role for Natural Language Generation (NLG) community. We present the activities conducted within the Multi3Generation COST Action (CA18231), as well as current trends and future perspectives for multitask, multilingual and multimodal language generation.
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessAll Open Access; Gold Open Access
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis project has received funding from the European Cooperation in Science and Technology (COST) under the agreement no. CA18231 - Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. In addition, this research work is partially conducted within the R&D projects “CORTEX: Conscious Text Generation” (PID2021-123956OB-I00) partially funded by MCIN/ AEI/10.13039/501100011033/ and by “ERDF A way of making Europe” and “Enhancing the modernization public sector organizations by deploying Natural Language Processing to make their digital content CLEARER to those with cognitive disabilities” (TED2021-130707B-I00), funded by MCIEI/10.13039/501100011033 and “European Union NextGenerationEU/PRTR”, and by the Generalitat Valenciana through the project “NL4DISMIS: Natural Language Technologies for dealing with dis- and misinformation with grant reference (CIPROM/2021/21)”, Project Counterfactual Commonsense (Örebro University), funded by the Swedish Research Council (VR).
dc.description.volume3
dc.identifier.doi10.12688/openreseurope.16307.1
dc.identifier.issn2732-5121
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85180942557
dc.identifier.urihttps://doi.org/10.12688/openreseurope.16307.1
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26073
dc.keywordsLanguage technologies
dc.keywordsMulti-task
dc.keywordsMulti3Generation
dc.keywordsMultilinguality
dc.keywordsMultimodality
dc.keywordsNatural language generation
dc.language.isoeng
dc.publisherF1000 Research Ltd
dc.relation.grantnoNatural Language Technologies, (CIPROM/2021/21); European Cooperation in Science and Technology, COST, (CA18231, MCIN/ AEI/10.13039/501100011033, PID2021-123956OB-I00); Generalitat Valenciana, GVA; Örebro Universitet; Vetenskapsrådet, VR; European Regional Development Fund, ERDF, (MCIEI/10.13039/501100011033, TED2021-130707B-I00)
dc.relation.ispartofOpen Research Europe
dc.subjectEngineering
dc.titleMulti3Generation: multitask, multilingual, and multimodal language generation
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorErdem, Aykut
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
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