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Trabalho de evento
Rhetorical structure approach for online deception detection: a survey (2022)
Vargas, Francielle Alves ; D'Alessandro, Jonas; Rabinovich, Zohar; Benevenuto, Fabrício ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, RETÓRICA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VARGAS, Francielle Alves et al. Rhetorical structure approach for online deception detection: a survey. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.635.pdf. Acesso em: 01 nov. 2024.
APA
Vargas, F. A., D'Alessandro, J., Rabinovich, Z., Benevenuto, F., & Pardo, T. A. S. (2022). Rhetorical structure approach for online deception detection: a survey. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.635.pdf
NLM
Vargas FA, D'Alessandro J, Rabinovich Z, Benevenuto F, Pardo TAS. Rhetorical structure approach for online deception detection: a survey [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.635.pdf
Vancouver
Vargas FA, D'Alessandro J, Rabinovich Z, Benevenuto F, Pardo TAS. Rhetorical structure approach for online deception detection: a survey [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.635.pdf
Trabalho de evento
HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection (2022)
Vargas, Francielle Alves ; Carvalho, Isabelle ; Goes, Fabiana Rodrigues de ; Pardo, Thiago Alexandre Salgueiro ; Benevenuto, Fabrício
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, MÍDIAS SOCIAIS, ÓDIO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VARGAS, Francielle Alves et al. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf. Acesso em: 01 nov. 2024.
APA
Vargas, F. A., Carvalho, I., Goes, F. R. de, Pardo, T. A. S., & Benevenuto, F. (2022). HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf
NLM
Vargas FA, Carvalho I, Goes FR de, Pardo TAS, Benevenuto F. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf
Vancouver
Vargas FA, Carvalho I, Goes FR de, Pardo TAS, Benevenuto F. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf
Trabalho de evento
Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, EMOÇÕES, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Mateus Tarcinalli e PARDO, Thiago Alexandre Salgueiro. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf. Acesso em: 01 nov. 2024.
APA
Machado, M. T., & Pardo, T. A. S. (2022). Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
NLM
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Vancouver
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Trabalho de evento
PortiLexicon-UD: a portuguese lexical resource according to Universal Dependencies Model (2022)
Lopes, Lucelene ; Duran, Magali Sanches ; Fernandes, Paulo; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, LÉXICO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucelene et al. PortiLexicon-UD: a portuguese lexical resource according to Universal Dependencies Model. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.715.pdf. Acesso em: 01 nov. 2024.
APA
Lopes, L., Duran, M. S., Fernandes, P., & Pardo, T. A. S. (2022). PortiLexicon-UD: a portuguese lexical resource according to Universal Dependencies Model. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.715.pdf
NLM
Lopes L, Duran MS, Fernandes P, Pardo TAS. PortiLexicon-UD: a portuguese lexical resource according to Universal Dependencies Model [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.715.pdf
Vancouver
Lopes L, Duran MS, Fernandes P, Pardo TAS. PortiLexicon-UD: a portuguese lexical resource according to Universal Dependencies Model [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.715.pdf
Trabalho de evento
Measuring the impact of readability features in fake news Detection (2020)
Santos, Roney Lira de Sales ; Wick-Pedro, Gabriela ; Leal, Sidney Evaldo; Vale, Oto Araujo ; Pardo, Thiago Alexandre Salgueiro ; Bontcheva, Kalina ; Scarton, Carolina Evaristo
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, NOTÍCIA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Roney Lira de Sales et al. Measuring the impact of readability features in fake news Detection. 2020, Anais.. Paris: European Language Resources Association, 2020. Disponível em: https://www.aclweb.org/anthology/2020.lrec-1.176. Acesso em: 01 nov. 2024.
APA
Santos, R. L. de S., Wick-Pedro, G., Leal, S. E., Vale, O. A., Pardo, T. A. S., Bontcheva, K., & Scarton, C. E. (2020). Measuring the impact of readability features in fake news Detection. In Proceedings. Paris: European Language Resources Association. Recuperado de https://www.aclweb.org/anthology/2020.lrec-1.176
NLM
Santos RL de S, Wick-Pedro G, Leal SE, Vale OA, Pardo TAS, Bontcheva K, Scarton CE. Measuring the impact of readability features in fake news Detection [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.176
Vancouver
Santos RL de S, Wick-Pedro G, Leal SE, Vale OA, Pardo TAS, Bontcheva K, Scarton CE. Measuring the impact of readability features in fake news Detection [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.176

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