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Artigo de periodico
A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations (2022)
Zanon, André Levi ; Souza, Luan Soares de ; Pressato, Diany ; Manzato, Marcelo Garcia
Source: Expert Systems. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZANON, André Levi et al. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems, v. 39, n. 8, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1111/exsy.12991. Acesso em: 14 nov. 2024.
APA
Zanon, A. L., Souza, L. S. de, Pressato, D., & Manzato, M. G. (2022). A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems, 39( 8), Se 2022. doi:10.1111/exsy.12991
NLM
Zanon AL, Souza LS de, Pressato D, Manzato MG. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ; 39( 8): Se 2022.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/exsy.12991
Vancouver
Zanon AL, Souza LS de, Pressato D, Manzato MG. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ; 39( 8): Se 2022.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/exsy.12991
Artigo de periodico
RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese (2022)
Leal, Sidney Evaldo ; Lukasova, Katerina ; Carthery-Goulart, Maria Teresa ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEAL, Sidney Evaldo et al. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, v. 56, n. 4, p. 1333-1372, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-022-09609-0. Acesso em: 14 nov. 2024.
APA
Leal, S. E., Lukasova, K., Carthery-Goulart, M. T., & Aluísio, S. M. (2022). RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, 56( 4), 1333-1372. doi:10.1007/s10579-022-09609-0
NLM
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Vancouver
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Artigo de periodico
Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach (2022)
Gazzola, Murilo Gleyson ; Leal, Sidney Evaldo ; Pedroni, Breno ; Rocha, Fábio Theoto ; Pompéia, Sabine ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAZZOLA, Murilo Gleyson et al. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, v. 56, n. 2, p. 621-650, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09571-3. Acesso em: 14 nov. 2024.
APA
Gazzola, M. G., Leal, S. E., Pedroni, B., Rocha, F. T., Pompéia, S., & Aluísio, S. M. (2022). Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, 56( 2), 621-650. doi:10.1007/s10579-021-09571-3
NLM
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Vancouver
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Artigo de periodico
A survey of the extraction and applications of causal relations (2022)
Drury, Brett ; Oliveira, Hugo Gonçalo ; Lopes, Alneu de Andrade
Source: Natural Language Engineering. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1017/S135132492100036X

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