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Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation
University of Alicante, Alicante,, San Vicente del Raspeig, Spain.
Instituto de Engenharia de Sistemas e Computadores, Investigac¸ao e Desenvolvimento (INESC-ID), Lisboa, Lisboa, Portugal.
Örebro University, School of Science and Technology. (CoDesign Lab EU)ORCID iD: 0000-0002-6290-5492
Centro Singular de Investigacion en Tecnolox´ıas Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
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2023 (English)In: Open Research Europe, E-ISSN 2732-5121, Vol. 3, article id 176Article in journal (Refereed) Published
Abstract [en]

The 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.

Place, publisher, year, edition, pages
European Commission, 2023. Vol. 3, article id 176
Keywords [en]
Language Technologies, Multi-task, Multi3Generation, Multilinguality, Multimodality, Natural Language Generation
National Category
Natural Language Processing
Identifiers
URN: urn:nbn:se:oru:diva-110610DOI: 10.12688/openreseurope.16307.2PubMedID: 38131050Scopus ID: 2-s2.0-85180942557OAI: oai:DiVA.org:oru-110610DiVA, id: diva2:1825234
Funder
Örebro UniversitySwedish Research Council
Note

This 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 MCIN/AEI/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).

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2025-02-07Bibliographically approved

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Bhatt, Mehul

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