Filtros : "Natural Language Engineering" Limpar

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  • Source: Natural Language Engineering. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM

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    • ABNT

      SALVATORE, Felipe de Souza et al. A resampling-based method to evaluate NLI models. Natural Language Engineering, 2023Tradução . . Disponível em: https://doi.org/10.1017/S1351324923000268. Acesso em: 08 jun. 2024.
    • APA

      Salvatore, F. de S., Finger, M., Hirata Júnior, R., & Patriota, A. G. (2023). A resampling-based method to evaluate NLI models. Natural Language Engineering. doi:10.1017/S1351324923000268
    • NLM

      Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324923000268
    • Vancouver

      Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324923000268
  • Source: Natural Language Engineering. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL

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    • ABNT

      DRURY, Brett e OLIVEIRA, Hugo Gonçalo e LOPES, Alneu de Andrade. A survey of the extraction and applications of causal relations. Natural Language Engineering, v. 28, n. 3, p. 361-400, 2022Tradução . . Disponível em: https://doi.org/10.1017/S135132492100036X. Acesso em: 08 jun. 2024.
    • APA

      Drury, B., Oliveira, H. G., & Lopes, A. de A. (2022). A survey of the extraction and applications of causal relations. Natural Language Engineering, 28( 3), 361-400. doi:10.1017/S135132492100036X
    • NLM

      Drury B, Oliveira HG, Lopes A de A. A survey of the extraction and applications of causal relations [Internet]. Natural Language Engineering. 2022 ; 28( 3): 361-400.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S135132492100036X
    • Vancouver

      Drury B, Oliveira HG, Lopes A de A. A survey of the extraction and applications of causal relations [Internet]. Natural Language Engineering. 2022 ; 28( 3): 361-400.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S135132492100036X
  • Source: Natural Language Engineering. Unidade: EACH

    Subjects: LINGUAGEM NATURAL, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      FERREIRA, Thiago Castro e PARABONI, Ivandré. Generating natural language descriptions using speaker-dependent information. Natural Language Engineering, v. 23, n. 6, p. 813-834, 2017Tradução . . Disponível em: https://doi.org/10.1017/S1351324917000079. Acesso em: 08 jun. 2024.
    • APA

      Ferreira, T. C., & Paraboni, I. (2017). Generating natural language descriptions using speaker-dependent information. Natural Language Engineering, 23( 6), 813-834. doi:10.1017/S1351324917000079
    • NLM

      Ferreira TC, Paraboni I. Generating natural language descriptions using speaker-dependent information [Internet]. Natural Language Engineering. 2017 ; 23( 6):813-834.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324917000079
    • Vancouver

      Ferreira TC, Paraboni I. Generating natural language descriptions using speaker-dependent information [Internet]. Natural Language Engineering. 2017 ; 23( 6):813-834.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324917000079
  • Source: Natural Language Engineering. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      GAUDIO, Rosa Del e BATISTA, Gustavo Enrique de Almeida Prado Alves e BRANCO, António. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting. Natural Language Engineering, v. 20, n. 3, p. 327-359, 2014Tradução . . Disponível em: https://doi.org/10.1017/S1351324912000381. Acesso em: 08 jun. 2024.
    • APA

      Gaudio, R. D., Batista, G. E. de A. P. A., & Branco, A. (2014). Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting. Natural Language Engineering, 20( 3), 327-359. doi:10.1017/S1351324912000381
    • NLM

      Gaudio RD, Batista GE de APA, Branco A. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting [Internet]. Natural Language Engineering. 2014 ; 20( 3): 327-359.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324912000381
    • Vancouver

      Gaudio RD, Batista GE de APA, Branco A. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting [Internet]. Natural Language Engineering. 2014 ; 20( 3): 327-359.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/S1351324912000381
  • Source: Natural Language Engineering. Unidades: ICMC, IFSC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      MARTINS, R. T. et al. Linguistic issues in the development of ReGra: a grammar checker for brazilian portuguese. Natural Language Engineering, v. 4, n. 4, p. 287-307, 1998Tradução . . Disponível em: https://doi.org/10.1017/s135132499800206x. Acesso em: 08 jun. 2024.
    • APA

      Martins, R. T., Hasegawa, R., Nunes, M. das G. V., Montilha, G., & Oliveira Junior, O. N. de. (1998). Linguistic issues in the development of ReGra: a grammar checker for brazilian portuguese. Natural Language Engineering, 4( 4), 287-307. doi:10.1017/s135132499800206x
    • NLM

      Martins RT, Hasegawa R, Nunes M das GV, Montilha G, Oliveira Junior ON de. Linguistic issues in the development of ReGra: a grammar checker for brazilian portuguese [Internet]. Natural Language Engineering. 1998 ; 4( 4): 287-307.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/s135132499800206x
    • Vancouver

      Martins RT, Hasegawa R, Nunes M das GV, Montilha G, Oliveira Junior ON de. Linguistic issues in the development of ReGra: a grammar checker for brazilian portuguese [Internet]. Natural Language Engineering. 1998 ; 4( 4): 287-307.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1017/s135132499800206x

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