Integrating question answering and text-to-SQL in portuguese (2022)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; COZMAN, FABIO GAGLIARDI - EP ; JOSÉ, MARCOS MENON - EP
- Unidades: IME; EP
- DOI: 10.1007/978-3-030-98305-5_26
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL
- Keywords: Question answering; Transformers networks; Natural language processing in portuguese; Natural language interfaces to databases
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
JOSÉ, Marcos Menon et al. Integrating question answering and text-to-SQL in portuguese. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_26. Acesso em: 12 fev. 2026. -
APA
José, M. M., José, M. A., Mauá, D. D., & Cozman, F. G. (2022). Integrating question answering and text-to-SQL in portuguese. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-98305-5_26 -
NLM
José MM, José MA, Mauá DD, Cozman FG. Integrating question answering and text-to-SQL in portuguese [Internet]. Proceedings. 2022 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_26 -
Vancouver
José MM, José MA, Mauá DD, Cozman FG. Integrating question answering and text-to-SQL in portuguese [Internet]. Proceedings. 2022 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_26 - Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks
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- Robustifying sum-product networks
- The complexity of Bayesian networks specified by propositional and relational languages
- The finite model theory of bayesian networks: descriptive complexity
- Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity
- Fast local search methods for solving limited memory influence diagrams
Informações sobre o DOI: 10.1007/978-3-030-98305-5_26 (Fonte: oaDOI API)
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