Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation
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Título: | Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation |
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Autor/es: | Lloret, Elena | Barreiro, Anabela | Bhatt, Mehul | Bugarín-Diz, Alberto | Modoni, Gianfranco E. | Silberztein, Max | Calixto, Iacer | Korvel, Grăzina | Diamantaras, Konstantinos | Katsalis, Alkiviadis | Turuta, Oleskii | Russo, Irene | Erdem, Aykut |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Natural Language Generation | Language Technologies | Multi3Generation | Multilinguality | Multimodality | Multi-task |
Fecha de publicación: | 12-oct-2023 |
Editor: | European Commission |
Cita bibliográfica: | Open Research Europe. 2023, 3:176. https://doi.org/10.12688/openreseurope.16307.1 |
Resumen: | 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, which play crucial role for 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. |
Patrocinador/es: | 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). |
URI: | http://hdl.handle.net/10045/139683 |
ISSN: | 2732-5121 |
DOI: | 10.12688/openreseurope.16307.1 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 Lloret E et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.12688/openreseurope.16307.1 |
Aparece en las colecciones: | INV - GPLSI - Artículos de Revistas |
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Lloret_etal_2023_OpenResearchEurope.pdf | 953,13 kB | Adobe PDF | Abrir Vista previa | |
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