Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations (2019)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; CABEZUDO, MARCO ANTONIO SOBREVILLA - ICMC
- Unidade: ICMC
- DOI: 10.18653/v1/D19-6313
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; CORPUS; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Association for Computational Linguistics
- Publisher place: Stroudsburg
- Date published: 2019
- Source:
- Título do periódico: Proceedings
- Conference titles: Workshop on Multilingual Surface Realisation - MSR
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
CABEZUDO, Marco Antonio Sobrevilla e MILLE, Simon e PARDO, Thiago Alexandre Salgueiro. Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations. 2019, Anais.. Stroudsburg: Association for Computational Linguistics, 2019. Disponível em: https://doi.org/10.18653/v1/D19-6313. Acesso em: 19 set. 2024. -
APA
Cabezudo, M. A. S., Mille, S., & Pardo, T. A. S. (2019). Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations. In Proceedings. Stroudsburg: Association for Computational Linguistics. doi:10.18653/v1/D19-6313 -
NLM
Cabezudo MAS, Mille S, Pardo TAS. Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations [Internet]. Proceedings. 2019 ;[citado 2024 set. 19 ] Available from: https://doi.org/10.18653/v1/D19-6313 -
Vancouver
Cabezudo MAS, Mille S, Pardo TAS. Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations [Internet]. Proceedings. 2019 ;[citado 2024 set. 19 ] Available from: https://doi.org/10.18653/v1/D19-6313 - NILC at SR'20: exploring pre-trained models in surface realisation
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Informações sobre o DOI: 10.18653/v1/D19-6313 (Fonte: oaDOI API)
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