Multi3Generation: Multitask, Multilingual, Multimodal Language Generation
Anabela Barreiro, José GC de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fabio Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani
Abstract
This paper presents the Multitask, Multilingual, Multimodal Language Generation COST Action – Multi3Generation (CA18231), an interdisciplinary network of research groups working on different aspects of language generation. This “meta-paper” will serve as reference for citations of the Action in future publications. It presents the objectives, challenges and a the links for the achieved outcomes.- Anthology ID:
- 2022.eamt-1.63
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 347–348
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.63
- DOI:
- Cite (ACL):
- Anabela Barreiro, José GC de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fabio Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, and Mirela Alhasani. 2022. Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 347–348, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- Multi3Generation: Multitask, Multilingual, Multimodal Language Generation (Barreiro et al., EAMT 2022)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2022.eamt-1.63.pdf