Source: Proceedings. Conference titles: International Natural Language Generation Conference - INLG. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
ABNT
CABEZUDO, Marco Antonio Sobrevilla e INÁCIO, Marcio Lima e PARDO, Thiago Alexandre Salgueiro. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.inlg-main.51. Acesso em: 31 out. 2024.APA
Cabezudo, M. A. S., Inácio, M. L., & Pardo, T. A. S. (2024). Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.inlg-main.51NLM
Cabezudo MAS, Inácio ML, Pardo TAS. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation [Internet]. Proceedings. 2024 ;[citado 2024 out. 31 ] Available from: https://aclanthology.org/2024.inlg-main.51Vancouver
Cabezudo MAS, Inácio ML, Pardo TAS. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation [Internet]. Proceedings. 2024 ;[citado 2024 out. 31 ] Available from: https://aclanthology.org/2024.inlg-main.51